This paper is in the following e-collection/theme issue:

Artificial Intelligence (1400) Clinical Information and Decision Making (1423) Decision Support for Health Professionals (1199) Machine Learning (1485)

Published on in Vol 21, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12422, first published .
Physician Confidence in Artificial Intelligence: An Online Mobile Survey

Physician Confidence in Artificial Intelligence: An Online Mobile Survey

Physician Confidence in Artificial Intelligence: An Online Mobile Survey

Authors of this article:

Songhee Oh1 Author Orcid Image ;   Jae Heon Kim2 Author Orcid Image ;   Sung-Woo Choi3 Author Orcid Image ;   Hee Jeong Lee1 Author Orcid Image ;   Jungrak Hong4 Author Orcid Image ;   Soon Hyo Kwon1 Author Orcid Image
Article Authors Cited by (189) Tweetations (15) Metrics

Journals

  1. Sur J, Bose S, Khan F, Dewangan D, Sawriya E, Roul A. Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey. Imaging Science in Dentistry 2020;50(3):193 View
  2. Gao S, He L, Chen Y, Li D, Lai K. Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media. Journal of Medical Internet Research 2020;22(7):e16649 View
  3. Palmisciano P, Jamjoom A, Taylor D, Stoyanov D, Marcus H. Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery. World Neurosurgery 2020;138:e627 View
  4. Coughlan J, Mullins C, Kiernan T. Diagnosing, fast and slow. Postgraduate Medical Journal 2021;97(1144):103 View
  5. Gille F, Jobin A, Ienca M. What we talk about when we talk about trust: Theory of trust for AI in healthcare. Intelligence-Based Medicine 2020;1-2:100001 View
  6. Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. Journal of Dental Education 2021;85(1):60 View
  7. Ardon O, Schmidt R. Clinical Laboratory Employees’ Attitudes Toward Artificial Intelligence. Laboratory Medicine 2020;51(6):649 View
  8. Meskó B. The Real Era of the Art of Medicine Begins with Artificial Intelligence. Journal of Medical Internet Research 2019;21(11):e16295 View
  9. Jutzi T, Krieghoff-Henning E, Holland-Letz T, Utikal J, Hauschild A, Schadendorf D, Sondermann W, Fröhling S, Hekler A, Schmitt M, Maron R, Brinker T. Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective. Frontiers in Medicine 2020;7 View
  10. Kim J, Chae M, Chang H, Kim Y, Park E. Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data. Journal of Clinical Medicine 2019;8(9):1336 View
  11. Jonmarker O, Strand F, Brandberg Y, Lindholm P. The future of breast cancer screening: what do participants in a breast cancer screening program think about automation using artificial intelligence?. Acta Radiologica Open 2019;8(12) View
  12. Lee H, Park S, Kim C, Kim S, Cha J. Survey of the Knowledge of Korean Radiology Residents on Medical Artificial Intelligence. Journal of the Korean Society of Radiology 2020;81(6):1397 View
  13. Abdullah R, Fakieh B. Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. Journal of Medical Internet Research 2020;22(5):e17620 View
  14. Doraiswamy P, Blease C, Bodner K. Artificial intelligence and the future of psychiatry: Insights from a global physician survey. Artificial Intelligence in Medicine 2020;102:101753 View
  15. Polesie S, Gillstedt M, Kittler H, Lallas A, Tschandl P, Zalaudek I, Paoli J. Attitudes towards artificial intelligence within dermatology: an international online survey. British Journal of Dermatology 2020;183(1):159 View
  16. Challa A, Beam A, Shen M, Peryea T, Lavieri R, Lippmann E, Aronoff D. Machine learning on drug-specific data to predict small molecule teratogenicity. Reproductive Toxicology 2020;95:148 View
  17. Blease C, Locher C, Leon-Carlyle M, Doraiswamy M. Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey. DIGITAL HEALTH 2020;6 View
  18. Castagno S, Khalifa M. Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study. Frontiers in Artificial Intelligence 2020;3 View
  19. Cheng J, Abel J, Balis U, McClintock D, Pantanowitz L. Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology. The American Journal of Pathology 2021;191(10):1684 View
  20. Paranjape K, Schinkel M, Hammer R, Schouten B, Nannan Panday R, Elbers P, Kramer M, Nanayakkara P. The Value of Artificial Intelligence in Laboratory Medicine. American Journal of Clinical Pathology 2021;155(6):823 View
  21. Layard Horsfall H, Palmisciano P, Khan D, Muirhead W, Koh C, Stoyanov D, Marcus H. Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey. World Neurosurgery 2021;146:e724 View
  22. Lennox-Chhugani N, Chen Y, Pearson V, Trzcinski B, James J. Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme. BMJ Health & Care Informatics 2021;28(1):e100293 View
  23. Caparrós Galán G, Sendra Portero F. Percepciones de estudiantes de Medicina sobre el impacto de la inteligencia artificial en radiología. Radiología 2022;64(6):516 View
  24. Valikodath N, Al-Khaled T, Cole E, Ting D, Tu E, Campbell J, Chiang M, Hallak J, Chan R. Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology. Journal of American Association for Pediatric Ophthalmology and Strabismus 2021;25(3):164.e1 View
  25. Wood E, Ange B, Miller D. Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey. Journal of Medical Education and Curricular Development 2021;8 View
  26. KESER G, NAMDAR PEKİNER F. Attitudes, perceptions and knowledge regarding the future of artificial intelligence in oral radiology among a group of dental students in Turkey: A survey. Clinical and Experimental Health Sciences 2021;11(4):637 View
  27. Lim W, Liew J, Loh C, Teoh S, Koh F. How does artificial intelligence‐aided colonoscopy help to improve adenoma detection rates?. ANZ Journal of Surgery 2022;92(12):3130 View
  28. Buck C, Doctor E, Hennrich J, Jöhnk J, Eymann T. General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study. Journal of Medical Internet Research 2022;24(1):e28916 View
  29. Hossain M, Syeed M, Fatema K, Uddin M. The Perception of Health Professionals in Bangladesh toward the Digitalization of the Health Sector. International Journal of Environmental Research and Public Health 2022;19(20):13695 View
  30. Martinho A, Kroesen M, Chorus C. A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence. Artificial Intelligence in Medicine 2021;121:102190 View
  31. Al Saad M, Shehadeh A, Alanazi S, Alenezi M, Abu alez A, Eid H, Alfaouri M, Aldawsari S, Alenezi R. Medical Students’ Knowledge and Attitude Towards Artificial Intelligence: An Online Survey. The Open Public Health Journal 2022;15(1) View
  32. Kawamura R, Harada Y, Sugimoto S, Nagase Y, Katsukura S, Shimizu T. Incidence of Diagnostic Errors Among Unexpectedly Hospitalized Patients Using an Automated Medical History–Taking System With a Differential Diagnosis Generator: Retrospective Observational Study. JMIR Medical Informatics 2022;10(1):e35225 View
  33. Jussupow E, Spohrer K, Heinzl A. Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals. JMIR Formative Research 2022;6(3):e28750 View
  34. Gupta P, Marigi E, Sanchez-Sotelo J. Research on artificial intelligence in shoulder and elbow surgery is increasing. JSES International 2023;7(1):158 View
  35. Civaner M, Uncu Y, Bulut F, Chalil E, Tatli A. Artificial intelligence in medical education: a cross-sectional needs assessment. BMC Medical Education 2022;22(1) View
  36. van der Meijden S, de Hond A, Thoral P, Steyerberg E, Kant I, Cinà G, Arbous M. Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study. JMIR Human Factors 2023;10:e39114 View
  37. Shlivko I, Garanina O, Klemenova I, Uskova K, Mironycheva A, Dardyk V, Laskov V. Artificial intelligence: how it works and criteria for assessment. Consilium Medicum 2021;23(8):626 View
  38. Eschert T, Schwendicke F, Krois J, Bohner L, Vinayahalingam S, Hanisch M. A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery. Medicina 2022;58(8):1059 View
  39. Bhatt P, Liu J, Gong Y, Wang J, Guo Y. Emerging Artificial Intelligence–Empowered mHealth: Scoping Review. JMIR mHealth and uHealth 2022;10(6):e35053 View
  40. Omrani N, Rivieccio G, Fiore U, Schiavone F, Agreda S. To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts. Technological Forecasting and Social Change 2022;181:121763 View
  41. Das K, Cockerell C, Patil A, Pietkiewicz P, Giulini M, Grabbe S, Goldust M. Machine Learning and Its Application in Skin Cancer. International Journal of Environmental Research and Public Health 2021;18(24):13409 View
  42. Tursunbayeva A, Renkema M. Artificial intelligence in health‐care: implications for the job design of healthcare professionals. Asia Pacific Journal of Human Resources 2023;61(4):845 View
  43. Fritsch S, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 2022;8:205520762211167 View
  44. Tamori H, Yamashina H, Mukai M, Morii Y, Suzuki T, Ogasawara K. Acceptance of the Use of Artificial Intelligence in Medicine Among Japan’s Doctors and the Public: A Questionnaire Survey. JMIR Human Factors 2022;9(1):e24680 View
  45. Ejikem M. Perspectives of Anesthesiologists Towards the Use of Artificial Intelligence in Anesthesia Practice in a Developing Country. Journal of Anesthesia and Surgical Research 2022 View
  46. Gue Y, El-Bouri W, Lip G. Photoplethysmography rhythm interpretation: an essential skill in an era of novel technologies. European Heart Journal - Digital Health 2021;2(3):361 View
  47. Yi T, Pan I, Collins S, Chen F, Cueto R, Hsieh B, Hsieh C, Smith J, Yang L, Liao W, Merck L, Bai H, Merck D. DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. Journal of Digital Imaging 2021;34(6):1405 View
  48. Chen M, Zhang B, Cai Z, Seery S, Gonzalez M, Ali N, Ren R, Qiao Y, Xue P, Jiang Y. Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey. Frontiers in Medicine 2022;9 View
  49. Scott I, Carter S, Coiera E. Exploring stakeholder attitudes towards AI in clinical practice. BMJ Health & Care Informatics 2021;28(1):e100450 View
  50. Caparrós Galán G, Sendra Portero F. Medical students’ perceptions of the impact of artificial intelligence in radiology. Radiología (English Edition) 2022;64(6):516 View
  51. Matthiesen S, Diederichsen S, Hansen M, Villumsen C, Lassen M, Jacobsen P, Risum N, Winkel B, Philbert B, Svendsen J, Andersen T. Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study. JMIR Human Factors 2021;8(4):e26964 View
  52. Knop M, Weber S, Mueller M, Niehaves B. Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence–Enabled Clinical Decision Support Systems: Literature Review. JMIR Human Factors 2022;9(1):e28639 View
  53. McLennan S, Meyer A, Schreyer K, Buyx A, Sbaffi L. German medical students´ views regarding artificial intelligence in medicine: A cross-sectional survey. PLOS Digital Health 2022;1(10):e0000114 View
  54. Maki O, Alshaikhli M, Gunduz M, Naji K, Abdulwahed M. Development of Digitalization Road Map for Healthcare Facility Management. IEEE Access 2022;10:14450 View
  55. Čartolovni A, Tomičić A, Lazić Mosler E. Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review. International Journal of Medical Informatics 2022;161:104738 View
  56. Horowitz M, Kahn L, Delcea C. What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials. PLOS ONE 2021;16(10):e0257732 View
  57. GÜNEÇ H, GÖKYAY S, KAYA E, CESUR AYDIN K. TOPLUM YAPAY ZEKA İLE DENTAL TANI KONMASINA HAZIR MI?. Selcuk Dental Journal 2022;9(1):200 View
  58. Hantel A, Clancy D, Kehl K, Marron J, Van Allen E, Abel G. A Process Framework for Ethically Deploying Artificial Intelligence in Oncology. Journal of Clinical Oncology 2022;40(34):3907 View
  59. Şahin E, Berk H. Orthopedic surgeons’ attitudes and expectations toward artificial intelligence: A national survey study. Journal of Surgery and Medicine 2023;7(2):151 View
  60. Jeong H, Han S, Kim K, Park I, Choi Y, Jeon K. Korean dental hygiene students’ perceptions and attitudes toward artificial intelligence: An online survey. Journal of Dental Education 2023;87(6):804 View
  61. Rainey C, O'Regan T, Matthew J, Skelton E, Woznitza N, Chu K, Goodman S, McConnell J, Hughes C, Bond R, McFadden S, Malamateniou C. Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers. Frontiers in Digital Health 2021;3 View
  62. Chaibi A, Zaiem I. Doctor Resistance of Artificial Intelligence in Healthcare. International Journal of Healthcare Information Systems and Informatics 2022;17(1):1 View
  63. Tran A, Nguyen L, Nguyen H, Nguyen C, Vu L, Zhang M, Vu T, Nguyen S, Tran B, Latkin C, Ho R, Ho C. Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians. Frontiers in Public Health 2021;9 View
  64. Abujaber A, Nashwan A, Fadlalla A. Enabling the adoption of machine learning in clinical decision support: A Total Interpretive Structural Modeling Approach. Informatics in Medicine Unlocked 2022;33:101090 View
  65. Behera R, Bala P, Rana N. Creation of sustainable growth with explainable artificial intelligence: An empirical insight from consumer packaged goods retailers. Journal of Cleaner Production 2023;399:136605 View
  66. Zhang I, Hart G, Qin B, Deng J. Long-term survival and second malignant tumor prediction in pediatric, adolescent, and young adult cancer survivors using Random Survival Forests: a SEER analysis. Scientific Reports 2023;13(1) View
  67. Scanzera A, Shorter E, Kinnaird C, Valikodath N, Al-Khaled T, Cole E, Kravets S, Hallak J, McMahon T, Chan R. Optometrist's perspectives of Artificial Intelligence in eye care. Journal of Optometry 2022;15:S91 View
  68. Ehrmann D, Harish V, Morgado F, Rosella L, Johnson A, Mema B, Mazwi M. Ignorance Isn't Bliss: We Must Close the Machine Learning Knowledge Gap in Pediatric Critical Care. Frontiers in Pediatrics 2022;10 View
  69. Pecqueux M, Riediger C, Distler M, Oehme F, Bork U, Kolbinger F, Schöffski O, van Wijngaarden P, Weitz J, Schweipert J, Kahlert C. The use and future perspective of Artificial Intelligence—A survey among German surgeons. Frontiers in Public Health 2022;10 View
  70. ÇİĞDEM M, ŞAHİN S. A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services. Journal of International Health Sciences and Management 2022;8(15):1 View
  71. Shen K, Huang C, Lin Y, Du J, Chen F, Kabasawa Y, Chen C, Huang H. Effects of artificial intelligence‐assisted dental monitoring intervention in patients with periodontitis: A randomized controlled trial. Journal of Clinical Periodontology 2022;49(10):988 View
  72. Calisto F, Nunes N, Nascimento J. Modeling adoption of intelligent agents in medical imaging. International Journal of Human-Computer Studies 2022;168:102922 View
  73. VILLANI A, CINELLI E, FABBROCINI G, MEGNA M. Psoriasis awareness among general population: preliminary results of an online survey. Italian Journal of Dermatology and Venereology 2022;156(6) View
  74. Boillat T, Nawaz F, Rivas H. Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study. JMIR Medical Education 2022;8(2):e34973 View
  75. Alsobhi M, Khan F, Chevidikunnan M, Basuodan R, Shawli L, Neamatallah Z. Physical Therapists’ Knowledge and Attitudes Regarding Artificial Intelligence Applications in Health Care and Rehabilitation: Cross-sectional Study. Journal of Medical Internet Research 2022;24(10):e39565 View
  76. Wagner G, Raymond L, Paré G. Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis. JMIR Medical Education 2023;9:e45631 View
  77. Ganapathi S, Duggal S, Lall D. Exploring the experiences and views of doctors working with Artificial Intelligence in English healthcare; a qualitative study. PLOS ONE 2023;18(3):e0282415 View
  78. Pan Y, Froese F. An interdisciplinary review of AI and HRM: Challenges and future directions. Human Resource Management Review 2023;33(1):100924 View
  79. Nawaz F, Barr A, Desai M, Tsagkaris C, Singh R, Klager E, Eibensteiner F, Parvanov E, Hribersek M, Kletecka-Pulker M, Willschke H, Atanasov A. Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis. Frontiers in Public Health 2022;10 View
  80. Rainey C, O'Regan T, Matthew J, Skelton E, Woznitza N, Chu K, Goodman S, McConnell J, Hughes C, Bond R, Malamateniou C, McFadden S. An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. Journal of Medical Imaging and Radiation Sciences 2022;53(3):347 View
  81. Held L, Wewetzer L, Steinhäuser J. Determinants of the implementation of an artificial intelligence-supported device for the screening of diabetic retinopathy in primary care – a qualitative study. Health Informatics Journal 2022;28(3) View
  82. Gillissen A, Kochanek T, Zupanic M, Ehlers J. Medical Students’ Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study. Healthcare 2022;10(4):723 View
  83. Li B, de Mestral C, Mamdani M, Al-Omran M. Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning. Journal of Vascular Surgery Cases, Innovations and Techniques 2022;8(3):466 View
  84. Mousavi Baigi S, Sarbaz M, Ghaddaripouri K, Ghaddaripouri M, Mousavi A, Kimiafar K. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Science Reports 2023;6(3) View
  85. Ergin E, Karaarslan D, Şahan S, Bingöl Ü. Can artificial intelligence and robotic nurses replace operating room nurses? The quasi-experimental research. Journal of Robotic Surgery 2023;17(4):1847 View
  86. Mansi M, Khare R. Skin cancer detection using machine learning techniques: a review. i-manager’s Journal on Image Processing 2022;9(3):34 View
  87. Raja A, Zhou J. AI Accountability: Approaches, Affecting Factors, and Challenges. Computer 2023;56(4):61 View
  88. Farah L, Murris J, Borget I, Guilloux A, Martelli N, Katsahian S. Assessment of Performance, Interpretability, and Explainability in Artificial Intelligence–Based Health Technologies: What Healthcare Stakeholders Need to Know. Mayo Clinic Proceedings: Digital Health 2023;1(2):120 View
  89. Lintz J. Provider Satisfaction With Artificial Intelligence–Based Hand Hygiene Monitoring System During the COVID-19 Pandemic: Study of a Rural Medical Center. Journal of Chiropractic Medicine 2023;22(3):197 View
  90. Taskiran N. Effect of Artificial Intelligence Course in Nursing on Students' Medical Artificial Intelligence Readiness. Nurse Educator 2023;48(5):E147 View
  91. Buabbas A, Miskin B, Alnaqi A, Ayed A, Shehab A, Syed-Abdul S, Uddin M. Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education. Healthcare 2023;11(9):1298 View
  92. Hesso I, Kayyali R, Dolton D, Joo K, Zacharias L, Charalambous A, Lavdaniti M, Stalika E, Ajami T, Acampa W, Boban J, Nabhani-Gebara S. Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence. Radiation Oncology 2023;18(1) View
  93. Alanazi A. Clinicians’ Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond. Cureus 2023 View
  94. Ahmad M, Abdallah S, Abbasi S, Abdallah A. Student perspectives on the integration of artificial intelligence into healthcare services. DIGITAL HEALTH 2023;9 View
  95. Catalina Q, Fuster-Casanovas A, Vidal-Alaball J, Escalé-Besa A, Marin-Gomez F, Femenia J, Solé-Casals J. Knowledge and perception of primary care healthcare professionals on the use of artificial intelligence as a healthcare tool. DIGITAL HEALTH 2023;9 View
  96. KANTAS YİLMAZ F. Attention: Artificial Intelligence is Coming! What Do Healthcare Professionals Say About This in Türkiye?. OPUS Toplum Araştırmaları Dergisi 2023;20(55):713 View
  97. Orlova I, Akopyan Z, Plisyuk A, Tarasova E, Borisov E, Dolgushin G, Khvatova E, Grigoryan M, Gabbasova L, Kamalov A. Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care. BMC Health Services Research 2023;23(1) View
  98. Yu D, Hu Y, Wang J, Nicholas S, Maitland E. Online medical consultation in China: Evidence from obesity doctors. DIGITAL HEALTH 2023;9 View
  99. Malhotra K, Wong B, Lee S, Franco H, Singh C, Cabrera Silva L, Iraqi H, Sinha A, Burger S, Breedt D, Goyal K, Dagli M, Bawa A. Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges. Cureus 2023 View
  100. Ouyang C, Chen C, Tee Y, Lin W, Kuo L, Liao C, Cheng C, Liao C. The Application of Design Thinking in Developing a Deep Learning Algorithm for Hip Fracture Detection. Bioengineering 2023;10(6):735 View
  101. Sahin E. Are medical oncologists ready for the artificial intelligence revolution? Evaluation of the opinions, knowledge, and experiences of medical oncologists about artificial intelligence technologies. Medical Oncology 2023;40(11) View
  102. Vo V, Chen G, Aquino Y, Carter S, Do Q, Woode M. Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis. Social Science & Medicine 2023;338:116357 View
  103. Lambert S, Madi M, Sopka S, Lenes A, Stange H, Buszello C, Stephan A. An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. npj Digital Medicine 2023;6(1) View
  104. St John A, Cooper L, Kavic S. The Role of Artificial Intelligence in Surgery: What do General Surgery Residents Think?. The American Surgeon™ 2024;90(4):541 View
  105. Wagner W, Viidalepp A, Idoiaga-Mondragon N, Talves K, Lillemäe E, Pekarev J, Otsus M. Lay representations of artificial intelligence and autonomous military machines. Public Understanding of Science 2023;32(7):926 View
  106. Giavina-Bianchi M, Vitor W, Fornasiero de Paiva V, Okita A, Sousa R, Machado B. Explainability agreement between dermatologists and five visual explanations techniques in deep neural networks for melanoma AI classification. Frontiers in Medicine 2023;10 View
  107. Yam K, Tan T, Jackson J, Shariff A, Gray K. Cultural Differences in People's Reactions and Applications of Robots, Algorithms, and Artificial Intelligence. Management and Organization Review 2023;19(5):859 View
  108. Busch F, Hoffmann L, Truhn D, Palaian S, Alomar M, Shpati K, Makowski M, Bressem K, Adams L. International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study. British Journal of Clinical Pharmacology 2024;90(3):649 View
  109. Li Q, Qin Y. AI in medical education: medical student perception, curriculum recommendations and design suggestions. BMC Medical Education 2023;23(1) View
  110. Kalinina M, Svitachev A, Biswas D, Vishnu P. Comparison of awareness and attitudes toward artificial intelligence among Russian- and English-speaking students at Orenburg State Medical University. Digital Diagnostics 2023;4(1S):62 View
  111. Murali S, Bagewadi A, Kumar S. L, Fernandes A, T. J, Panwar A, Keluskar V. Knowledge, attitude, and perception of dentists regarding the role of Artificial Intelligence and its applications in Oral Medicine and Radiology: a cross sectional study. Journal of Oral Medicine and Oral Surgery 2023;29(2):22 View
  112. Ahmed A, Brychcy A, Abouzid M, Witt M, Kaczmarek E. Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study. Journal of Personalized Medicine 2023;13(6):962 View
  113. Funer F, Liedtke W, Tinnemeyer S, Klausen A, Schneider D, Zacharias H, Langanke M, Salloch S. Responsibility and decision-making authority in using clinical decision support systems: an empirical-ethical exploration of German prospective professionals’ preferences and concerns. Journal of Medical Ethics 2024;50(1):6 View
  114. Li L, Haley L, Boyd A, Bernstam E. Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. Journal of Biomedical Informatics 2023;147:104531 View
  115. Rojahn J, Palu A, Skiena S, Jones J, Mahmoud A. American public opinion on artificial intelligence in healthcare. PLOS ONE 2023;18(11):e0294028 View
  116. Kalaimani G, B S, Chockalingam R, Karthick P. Evaluation of Knowledge, Attitude, and Practice (KAP) of Artificial Intelligence Among Dentists and Dental Students: A Cross-Sectional Online Survey. Cureus 2023 View
  117. Willis K, Chaudhry U, Chandrasekaran L, Wahlich C, Olvera-Barrios A, Chambers R, Bolter L, Anderson J, Barman S, Fajtl J, Welikala R, Egan C, Tufail A, Owen C, Rudnicka A. What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting. BMJ Open 2023;13(11):e075558 View
  118. Oluwadiya K, Adeoti A, Agodirin S, Nottidge T, Usman M, Gali M, Onyemaechi N, Ramat A, Adedire A, Zakari L. Exploring Artificial Intelligence in the Nigerian Medical Educational Space: An Online Cross-sectional Study of Perceptions, Risks and Benefits among Students and Lecturers from Ten Universities. Nigerian Postgraduate Medical Journal 2023;30(4):285 View
  119. Barakat A, Mobarak O, Javaid H, Awad M, Hamweyah K, Ouban A, Al-Hazzaa S. The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective. Frontiers in Medicine 2023;10 View
  120. AKTAŞ REYHAN F, DAĞLI E. Ebelik Öğrencilerin Yapay Zekâ Kaygı Durumlarının Değerlendirilmesi. Cumhuriyet Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 2023;8(Special Issue):290 View
  121. MERTOĞLU D, KESER G, NAMDAR PEKİNER F, BAYRAKDAR İ, ÇELİK Ö, ORHAN K. A Deep Learning Approach to Automatic Tooth Detection and Numbering in Panoramic Radiographs: An Artificial Intelligence Study. Clinical and Experimental Health Sciences 2023;13(4):883 View
  122. EKER A, ÇALIŞKAN A, ZORALİ A, KAYNAK B, DERİN M. Medical Students’ Knowledge and Attitudes about Artificial Intelligence: A Cross-Sectional Survey. Tıp Eğitimi Dünyası 2023;22(68):41 View
  123. Anjankar A, Jha R, Lambe S. Implementation of Artificial Intelligence in Laboratory Medicine. Journal of Datta Meghe Institute of Medical Sciences University 2023;18(4):598 View
  124. Weidener L, Fischer M. Artificial Intelligence in Medicine: Cross-Sectional Study Among Medical Students on Application, Education, and Ethical Aspects. JMIR Medical Education 2024;10:e51247 View
  125. Adigwe O, Onavbavba G, Sanyaolu S. Exploring the matrix: knowledge, perceptions and prospects of artificial intelligence and machine learning in Nigerian healthcare. Frontiers in Artificial Intelligence 2024;6 View
  126. Weber S, Wyszynski M, Godefroid M, Plattfaut R, Niehaves B. How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey. Computational and Structural Biotechnology Journal 2024;24:146 View
  127. Waheed M, Liu L. Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care Organization. JMIR AI 2024;3:e40781 View
  128. Rawashdeh M, Almazrouei S, Zaitoun M, Kumar P, Saade C, Sarkar S. Empowering Radiographers: A Call for Integrated AI Training in University Curricula. International Journal of Biomedical Imaging 2024;2024:1 View
  129. Aldowah O, Almakrami A, Alghuwaynim Y, Alhutaylah M, Almansour A, Alswedan A, Alshahrani F, Alqarni S, Alkasi Y. Perceptions and Knowledge of Undergraduate Dental Students about Artificial Intelligence in Dental Schools: A Cross-sectional Study. The Journal of Contemporary Dental Practice 2024;25(2):148 View
  130. Ogolodom M, Daniel Ochong A, Brownson Egop E, Ugwem Jeremiah C, Kenneth Madume A, Nyenke C, Dambele M, Joseph D, Bakre A, Balogun E, Alazigha N, Okeji M, Ordu K, Hyacienth Uche Chiegwu H, Johnson J, Mbaba A, Kelechi Nwodo V. Knowledge and perception of healthcare workers towards the adoption of artificial intelligence in healthcare service delivery in Nigeria. AG Salud 2023;1:16 View
  131. Catanese A, Mattiello G, Azam S, Puyalto P. Opiniones de los especialistas y residentes de radiología sobre la inteligencia artificial. Radiología 2024 View
  132. Heredia-Negrón F, Tosado-Rodríguez E, Meléndez-Berrios J, Nieves B, Amaya-Ardila C, Roche-Lima A. Assessing the Impact of AI Education on Hispanic Healthcare Professionals’ Perceptions and Knowledge. Education Sciences 2024;14(4):339 View
  133. Alkhatieb M, Subke A. Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia. Cureus 2024 View
  134. Kolla L, Parikh R. Uses and limitations of artificial intelligence for oncology. Cancer 2024;130(12):2101 View
  135. Kim J, Yang H, Kim B, Ryan K, Roberts L. Understanding Physician’s Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study. JMIR Research Protocols 2024;13:e54787 View
  136. Surbaya S, Khan A, Surbaya S, Alzahrani S. Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia. Advances in Medical Education and Practice 2024;Volume 15:269 View
  137. Catanese A, Mattiello G, Azam S, Puyalto P. Radiologists and trainees’ perspectives on artificial intelligence. Radiología (English Edition) 2024 View
  138. Hoppe B, Rueckel J, Dikhtyar Y, Heimer M, Fink N, Sabel B, Ricke J, Rudolph J, Cyran C. Implementing Artificial Intelligence for Emergency Radiology Impacts Physicians' Knowledge and Perception. Investigative Radiology 2024;59(5):404 View
  139. Berliner L. Minimizing possible negative effects of artificial intelligence. International Journal of Computer Assisted Radiology and Surgery 2024;19(8):1473 View
  140. Ahmed A, Fawi M, Brychcy A, Abouzid M, Witt M, Kaczmarek E. Development and Validation of a Deep Learning Model for Histopathological Slide Analysis in Lung Cancer Diagnosis. Cancers 2024;16(8):1506 View
  141. Virgilio G, Saavedra Hoyos F, Bao Ratzemberg C. The impact of artificial intelligence on unemployment: a review. International Journal of Social Economics 2024;51(12):1680 View
  142. Pringle A, Kumaran V, Missier M, Nadar A. Perceptiveness and Attitude on the use of Artificial Intelligence (AI) in Dentistry among Dentists and Non-Dentists - A Regional Survey. Journal of Pharmacy and Bioallied Sciences 2024;16(Suppl 2):S1481 View
  143. Naveed A, Umer M, Maryam Q, Malik A, Bashir N, Kandel K. Investigating awareness of artificial intelligence in healthcare among medical students and professionals in Pakistan: A cross-sectional study. Annals of Medicine & Surgery 2024 View
  144. Roemmich K, Corvite S, Pyle C, Karizat N, Andalibi N. Emotion AI Use in U.S. Mental Healthcare: Potentially Unjust and Techno-Solutionist. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  145. Mishra M, Upadhyaya A. Investigating Factors Shaping Future Doctors' Willingness to Adopt AI Diagnosis Support Systems. SN Computer Science 2024;5(5) View
  146. Jebreen K, Radwan E, Kammoun-Rebai W, Alattar E, Radwan A, Safi W, Radwan W, Alajez M. Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine. BMC Medical Education 2024;24(1) View
  147. Hada P, Sharma S, Singh V, Dubey S, Jain S, Goswami D. Evaluation of attitude and awareness of dental practitioners regarding artificial intelligence: A cross-sectional study. Journal of Indian Academy of Oral Medicine and Radiology 2024;36(1):22 View
  148. Yao J, Lim J, Lim G, Ong J, Ke Y, Tan T, Tan T, Vujosevic S, Ting D. Novel artificial intelligence algorithms for diabetic retinopathy and diabetic macular edema. Eye and Vision 2024;11(1) View
  149. Lu L, Zhong Y, Luo S, Liu S, Xiao Z, Ding J, Shao J, Fu H, Xu J. Dilemmas and prospects of artificial intelligence technology in the data management of medical informatization in China: A new perspective on SPRAY-type AI applications. Health Informatics Journal 2024;30(2) View
  150. Yigit D, Acikgoz A. Evaluation of future nurses' knowledge, attitudes and anxiety levels about artificial intelligence applications. Journal of Evaluation in Clinical Practice 2024;30(7):1319 View
  151. Patrascanu O, Tutunaru D, Musat C, Dragostin O, Fulga A, Nechita L, Ciubara A, Piraianu A, Stamate E, Poalelungi D, Dragostin I, Iancu D, Ciubara A, Fulga I. Future Horizons: The Potential Role of Artificial Intelligence in Cardiology. Journal of Personalized Medicine 2024;14(6):656 View
  152. Rotem R, Zamstein O, Rottenstreich M, O'Sullivan O, O'reilly B, Weintraub A. The future of patient education: A study on AI‐driven responses to urinary incontinence inquiries. International Journal of Gynecology & Obstetrics 2024;167(3):1004 View
  153. Rupp M, Moser L, Hess S, Angele P, Aurich M, Dyrna F, Nehrer S, Neubauer M, Pawelczyk J, Izadpanah K, Zellner J, Niemeyer P. Orthopaedic surgeons display a positive outlook towards artificial intelligence: A survey among members of the AGA Society for Arthroscopy and Joint Surgery. Journal of Experimental Orthopaedics 2024;11(3) View
  154. Alshutayli A, Asiri F, Abutaleb Y, Alomair B, Almasaud A, Almaqhawi A. Assessing Public Knowledge and Acceptance of Using Artificial Intelligence Doctors as a Partial Alternative to Human Doctors in Saudi Arabia: A Cross-Sectional Study. Cureus 2024 View
  155. Atalla A, El-Ashry A, Mohamed Sobhi Mohamed S. The moderating role of ethical awareness in the relationship between nurses’ artificial intelligence perceptions, attitudes, and innovative work behavior: a cross-sectional study. BMC Nursing 2024;23(1) View
  156. Mohta A, Mohta A. Are dermatologists a well-informed audience for artificial intelligence? A knowledge, attitude, and practice survey. Indian Journal of Skin Allergy 2024;3:134 View
  157. BAŞAR E, KES ERKUL A. Factors Affecting the Attitude of Medical Doctors in Türkiye towards Using Artificial Intelligence Applications in Healthcare Services. Bezmialem Science 2024:297 View
  158. Pawelczyk J, Kraus M, Eckl L, Nehrer S, Aurich M, Izadpanah K, Siebenlist S, Rupp M. Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study. Archives of Orthopaedic and Trauma Surgery 2024;144(8):3541 View
  159. Bhanotia D, Alam S, Trehan M, Rai D, Rai A. Assessing the AI Acumen: A study on the knowledge, attitude and behaviour of dental students towards artificial intelligence. Journal of Contemporary Orthodontics 2024;8(3):290 View
  160. Malešević A, Kolesárová M, Čartolovni A. Encompassing trust in medical AI from the perspective of medical students: a quantitative comparative study. BMC Medical Ethics 2024;25(1) View
  161. Chaturvedi A. Exploring empathy in artificial intelligence: synthesis and paths for future research. Information Discovery and Delivery 2024 View
  162. Boillat T, Otaki F, Baghestani A, Zarnegar L, Kellett C. A landscape analysis of digital health technology in medical schools: preparing students for the future of health care. BMC Medical Education 2024;24(1) View
  163. Hamad M, Qtaishat F, Mhairat E, AL-Qunbar A, Jaradat M, Mousa A, Faidi B, Alkhaldi S. Artificial Intelligence Readiness Among Jordanian Medical Students: Using Medical Artificial Intelligence Readiness Scale For Medical Students (MAIRS-MS). Journal of Medical Education and Curricular Development 2024;11 View
  164. Theocharopoulos C, Davakis S, Ziogas D, Theocharopoulos A, Foteinou D, Mylonakis A, Katsaros I, Gogas H, Charalabopoulos A. Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer. Cancers 2024;16(19):3285 View
  165. Banerjee A, Sarangi P, Kumar S. Medical Doctors’ Perceptions of Artificial Intelligence (AI) in Healthcare. Cureus 2024 View
  166. Bahadir H, Keskin N, Çakmak E, Güneç G, Cesur Aydin K, Peker F. Patients’ attitudes toward artificial intelligence in dentistry and their trust in dentists. Oral Radiology 2024 View
  167. Hamd Z, Alorainy A, Aldhahi M, Gareeballah A, F Alsubaie N, A Alshanaiber S, S Almudayhesh N, A Alyousef R, A AlNiwaider R, A Bin Moammar L, M Abuzaid M. Evaluation of the Impact of Artificial Intelligence on Clinical Practice of Radiology in Saudi Arabia. Journal of Multidisciplinary Healthcare 2024;Volume 17:4745 View
  168. Radhwi O, Khafaji M. The wizard of artificial intelligence: Are physicians prepared?. Journal of Family and Community Medicine 2024;31(4):344 View
  169. Taneja P, Marya C, Nagpal R, Bhardwaj A, Josh J, Kataria S. Exploring the Landscape of Artificial Intelligence Acceptance among Health-care Professionals: A Questionnaire Survey. Journal of Indian Association of Public Health Dentistry 2024;22(3):277 View
  170. Yılmaz C, Erdem R, Uygun L. Artificial intelligence knowledge, attitudes and application perspectives of undergraduate and specialty students of faculty of dentistry in Turkey: an online survey research. BMC Medical Education 2024;24(1) View
  171. Naveen Gokul R , K M, K S, V P. Awareness About Artificial Intelligence Among Dental Practitioners And Dental Students. Journal of Clinical Prosthodontics and Implantology 2024;6(2):60 View
  172. Cadamuro J, Carobene A, Cabitza F, Debeljak Z, De Bruyne S, van Doorn W, Johannes E, Frans G, Özdemir H, Martin Perez S, Rajdl D, Tolios A, Padoan A. A comprehensive survey of artificial intelligence adoption in European laboratory medicine: current utilization and prospects. Clinical Chemistry and Laboratory Medicine (CCLM) 2024 View
  173. Allam R, Abdelfatah D, Khalil M, Elsaieed M, El Desouky E. Medical students and house officers’ perception, attitude and potential barriers towards artificial intelligence in Egypt, cross sectional survey. BMC Medical Education 2024;24(1) View
  174. You F, Lin P, Huang C, Wu J, Kabasawa Y, Chen C, Huang H. Artificial intelligence with counseling on the treatment outcomes and quality of life in periodontitis patients. Journal of Periodontology 2024 View
  175. Kumar S, Rayal S, Bommaraju R, Varasala N, Papineni S, Deo S. Understanding Providers' Attitude Towards Artificial Intelligence in India's Informal Healthcare Sector – A Survey Study (Preprint). JMIR Formative Research 2023 View
  176. Afroogh S, Akbari A, Malone E, Kargar M, Alambeigi H. Trust in AI: progress, challenges, and future directions. Humanities and Social Sciences Communications 2024;11(1) View
  177. Alomran A, Alomar M, Akhdher A, Al Qanber A, Albik A, Alumran A, Abdulwahab A. Artificial intelligence awareness and perceptions among pediatric orthopedic surgeons: A cross-sectional observational study. World Journal of Orthopedics 2024;15(11):1023 View
  178. Yu Z, Hu N, Zhao Q, Hu X, Jia C, Zhang C, Liu B, Li Y. The willingness to adopt artificial intelligence-driven Clinical Decision Support Systems among doctors at different hospitals in China: A fuzzy set qualitative comparative analysis of survey data (Preprint). Journal of Medical Internet Research 2024 View
  179. Falcon R, Alcazar R, Babaran H, Caragay B, Corpuz C, Kho M, Perez A, Isip-Tan I. Exploring Filipino Medical Students’ Attitudes and Perceptions of Artificial Intelligence in Medical Education: A Mixed-Methods Study. MedEdPublish 2024;14:282 View
  180. Suazo Galdames I. From Anatomy to Algorithm: Scope of AI-Assisted Diagnostic Competencies in Health Sciences Education. International Journal of Medical and Surgical Sciences 2024:1 View
  181. Said K, Rhaimi C, Alatresh S. Artificial Intelligence in Skin Cancer: A Literature Review from Diagnosis to Prevention and Beyond. Journal for Research in Applied Sciences and Biotechnology 2024;3(5):258 View

Books/Policy Documents

  1. Singh A, Tripathi A, Singh K, Choudhary P, Vashist P. Machine Learning and the Internet of Medical Things in Healthcare. View
  2. Kalra J, Rafid-Hamed Z, Seitzinger P. Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. View
  3. Köse A. Integrating Digital Health Strategies for Effective Administration. View
  4. Cheng J, Abel J, Balis U, Pantanowitz L, McClintock D. Artificial Intelligence in Pathology. View