Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15154, first published .
Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Journals

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  130. Zhang Y, Doyle T. Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust. Frontiers in Robotics and AI 2023;10 View
  131. Fischer A, Rietveld A, Teunissen P, Hoogendoorn M, Bakker P. What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals. BMJ Open 2023;13(10):e076017 View
  132. Steerling E, Siira E, Nilsen P, Svedberg P, Nygren J. Implementing AI in healthcare—the relevance of trust: a scoping review. Frontiers in Health Services 2023;3 View
  133. Cresswell K, Rigby M, Magrabi F, Scott P, Brender J, Craven C, Wong Z, Kukhareva P, Ammenwerth E, Georgiou A, Medlock S, De Keizer N, Nykänen P, Prgomet M, Williams R. The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision. Health Policy 2023;136:104889 View
  134. Njei B, Kanmounye U, Mohamed M, Forjindam A, Ndemazie N, Adenusi A, Egboh S, Chukwudike E, Monteiro J, Berzin T, Asombang A. Artificial intelligence for healthcare in Africa: a scientometric analysis. Health and Technology 2023;13(6):947 View
  135. Asare J, Appiahene P, Donkoh E. Detection of anaemia using medical images: A comparative study of machine learning algorithms – A systematic literature review. Informatics in Medicine Unlocked 2023;40:101283 View
  136. Hummelsberger P, Koch T, Rauh S, Dorn J, Lermer E, Raue M, Hudecek M, Schicho A, Colak E, Ghassemi M, Gaube S. Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study. JMIR AI 2023;2:e47353 View
  137. Huang Z, George M, Tan Y, Natarajan K, Devasagayam E, Tay E, Manesh A, Varghese G, Abraham O, Zachariah A, Yap P, Lall D, Chow A. Are physicians ready for precision antibiotic prescribing? A qualitative analysis of the acceptance of artificial intelligence-enabled clinical decision support systems in India and Singapore. Journal of Global Antimicrobial Resistance 2023;35:76 View
  138. Bitkina O, Park J, Kim H. Application of artificial intelligence in medical technologies: A systematic review of main trends. DIGITAL HEALTH 2023;9 View
  139. Jouan G, Arnardottir E, Islind A, Óskarsdóttir M. An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model. European Journal of Operational Research 2023 View
  140. Milota M, Drogt J, Jongsma K. Making AI’s Impact on Pathology Visible: Using Ethnographic Methods for Ethical and Epistemological Insights. Digital Society 2023;2(3) View
  141. van der Sar I, van Jaarsveld N, Spiekerman I, Toxopeus F, Langens Q, Wijsenbeek M, Dauwels J, Moor C. Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis. Journal of Breath Research 2023;17(4):047104 View
  142. Hill A, Joyner C, Keith-Jopp C, Yet B, Tuncer Sakar C, Marsh W, Morrissey D. Assessing Serious Spinal Pathology Using Bayesian Network Decision Support: Development and Validation Study. JMIR Formative Research 2023;7:e44187 View
  143. Benrimoh D, Kleinerman A, Furukawa T, III C, Lenze E, Karp J, Mulsant B, Armstrong C, Mehltretter J, Fratila R, Perlman K, Israel S, Popescu C, Golden G, Qassim S, Anacleto A, Tanguay-Sela M, Kapelner A, Rosenfeld A, Turecki G. Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. The American Journal of Geriatric Psychiatry 2023 View
  144. Asan O, Choi E, Wang X. Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review. Journal of Medical Internet Research 2023;25:e47260 View
  145. Herington J, McCradden M, Creel K, Boellaard R, Jones E, Jha A, Rahmim A, Scott P, Sunderland J, Wahl R, Zuehlsdorff S, Saboury B. Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance. Journal of Nuclear Medicine 2023;64(10):1509 View
  146. Maccaro A, Pagliara S, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem M, Pecchia L. Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support. Scientific Reports 2023;13(1) View
  147. Farič N, Hinder S, Williams R, Ramaesh R, Bernabeu M, van Beek E, Cresswell K. Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study. Journal of the American Medical Informatics Association 2023;31(1):24 View
  148. Day T, Budd S, Tan J, Matthew J, Skelton E, Jowett V, Lloyd D, Gomez A, Hajnal J, Razavi R, Kainz B, Simpson J. Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?. Prenatal Diagnosis 2023 View
  149. Lin H, Han J, Wu P, Wang J, Tu J, Tang H, Zhu L. Machine learning and human‐machine trust in healthcare: A systematic survey. CAAI Transactions on Intelligence Technology 2023 View
  150. Sangal S, Nigam A, Sharma S. Integrating blockchain capabilities in an omnichannel healthcare system: A dual theoretical perspective. Journal of Consumer Behaviour 2023 View
  151. Mittermaier M, Raza M, Kvedar J. Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches. npj Digital Medicine 2023;6(1) View
  152. González-Alday R, García-Cuesta E, Kulikowski C, Maojo V. A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine. Applied Sciences 2023;13(19):10778 View
  153. Rizvi A, Rizvi F, Lalakia P, Hyman L, Frasso R, Sztandera L, Das A. Is Artificial Intelligence the Cost-Saving Lens to Diabetic Retinopathy Screening in Low- and Middle-Income Countries?. Cureus 2023 View
  154. Braun M, Greve M, Brendel A, Kolbe L. Humans supervising Artificial intelligence – Investigation of Designs to optimize error detection. Journal of Decision Systems 2023:1 View
  155. Petersson L, Vincent K, Svedberg P, Nygren J, Larsson I. Ethical considerations in implementing AI for mortality prediction in the emergency department: Linking theory and practice. DIGITAL HEALTH 2023;9 View
  156. Neher M, Petersson L, Nygren J, Svedberg P, Larsson I, Nilsen P. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications 2023;4(1) View
  157. Wang B, Asan O, Mansouri M. What May Impact Trustworthiness of AI in Digital Healthcare: Discussion from Patients’ Viewpoint. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2023;12(1):5 View
  158. Tang Y, Cai J. Impact and Prediction of AI Diagnostic Report Interpretation Type on Patient Trust. Frontiers in Computing and Intelligent Systems 2023;3(3):59 View
  159. Hulsen T. Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare. AI 2023;4(3):652 View
  160. Cascarano A, Mur-Petit J, Hernández-González J, Camacho M, de Toro Eadie N, Gkontra P, Chadeau-Hyam M, Vitrià J, Lekadir K. Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artificial Intelligence Review 2023;56(S2):1711 View
  161. Mehrotra S, Jorge C, Jonker C, Tielman M. Integrity-based Explanations for Fostering Appropriate Trust in AI Agents. ACM Transactions on Interactive Intelligent Systems 2024;14(1):1 View
  162. Kumar A, Nanthaamornphong A, Selvi R, Venkatesh J, Alsharif M, Uthansakul P, Uthansakul M. Evaluation of 5G techniques affecting the deployment of smart hospital infrastructure: Understanding 5G, AI and IoT role in smart hospital. Alexandria Engineering Journal 2023;83:335 View
  163. Habbal A, Ali M, Abuzaraida M. Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions. Expert Systems with Applications 2024;240:122442 View
  164. Verma A, Trbovich P, Mamdani M, Shojania K. Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives. BMJ Quality & Safety 2024;33(2):121 View
  165. Wang B, Asan O, Zhang Y. Shaping the future of chronic disease management: Insights into patient needs for AI-based homecare systems. International Journal of Medical Informatics 2024;181:105301 View
  166. Stevens A, Stetson P. Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence. Journal of Biomedical Informatics 2023;148:104550 View
  167. Goh W, Chia K, Cheung M, Kee K, Lwin M, Schulz P, Chen M, Wu K, Ng S, Lui R, Ang T, Yeoh K, Chiu H, Wu D, Sung J. Risk Perception, Acceptance, and Trust of Using Artificial Intelligence in Gastroenterology Practice: Survey from the Asia Pacific Region (Preprint). JMIR AI 2023 View
  168. Veetil I, V. S, Orozco-Arroyave J, Gopalakrishnan E. Robust language independent voice data driven Parkinson’s disease detection. Engineering Applications of Artificial Intelligence 2024;129:107494 View
  169. Schulz P, Lwin M, Kee K, Goh W, Lam T, Sung J. Modeling the influence of attitudes, trust, and beliefs on endoscopists’ acceptance of artificial intelligence applications in medical practice. Frontiers in Public Health 2023;11 View
  170. Alanzi T, Alanazi F, Mashhour B, Altalhi R, Alghamdi A, Al Shubbar M, Alamro S, Alshammari M, Almusmili L, Alanazi L, Alzahrani S, Alalouni R, Alanzi N, Alsharifa A. Surveying Hematologists’ Perceptions and Readiness to Embrace Artificial Intelligence in Diagnosis and Treatment Decision-Making. Cureus 2023 View
  171. Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. SSRN Electronic Journal 2023 View
  172. Walton N, Nagarajan R, Wang C, Sincan M, Freimuth R, Everman D, Walton D, McGrath S, Lemas D, Benos P, Alekseyenko A, Song Q, Gamsiz Uzun E, Taylor C, Uzun A, Person T, Rappoport N, Zhao Z, Williams M. Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup. Journal of the American Medical Informatics Association 2024;31(2):536 View
  173. Townsend B, Plant K, Hodge V, Ashaolu O, Calinescu R. Medical practitioner perspectives on AI in emergency triage. Frontiers in Digital Health 2023;5 View
  174. Falcone R, Sapienza A. The Role of Trust in Dependence Networks: A Case Study. Information 2023;14(12):652 View
  175. Rabindranath M, Naghibzadeh M, Zhao X, Holdsworth S, Brudno M, Sidhu A, Bhat M. Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?. Transplantation 2023 View
  176. Gray M, Baird A, Sawyer T, James J, DeBroux T, Bartlett M, Krick J, Umoren R. Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study. JMIR Medical Education 2024;10:e50705 View
  177. Barwise A, Curtis S, Diedrich D, Pickering B. Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives. Journal of the American Medical Informatics Association 2024;31(3):611 View
  178. Racine N, Chow C, Hamwi L, Bucsea O, Cheng C, Du H, Fabrizi L, Jasim S, Johannsson L, Jones L, Laudiano-Dray M, Meek J, Mistry N, Shah V, Stedman I, Wang X, Riddell R. Health Care Professionals’ and Parents’ Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study. JMIR AI 2024;3:e51535 View
  179. George A, Sahadevan J. What determines behavioural intention in health services? A four-stage loyalty model. Rajagiri Management Journal 2023 View
  180. SOYSAL F. Enhancing Translation Studies with Artificial Intelligence (AI): Challenges, Opportunities, and Proposals. Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi 2023;5(2):177 View
  181. Ferrara E. Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. Sci 2023;6(1):3 View
  182. Sassi Z, Hahn M, Eickmann S, Herrmann-Johns A, Tretter M. Beyond algorithmic trust: interpersonal aspects on consent delegation to LLMs. Journal of Medical Ethics 2024;50(2):139 View
  183. Hoebel K, Bridge C, Ahmed S, Akintola O, Chung C, Huang R, Johnson J, Kim A, Ly K, Chang K, Patel J, Pinho M, Batchelor T, Rosen B, Gerstner E, Kalpathy-Cramer J. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology: Artificial Intelligence 2024;6(1) View
  184. Chen H, Ma X, Rives H, Serpedin A, Yao P, Rameau A. Trust in Machine Learning Driven Clinical Decision Support Tools Among Otolaryngologists. The Laryngoscope 2024 View
  185. Shevtsova D, Ahmed A, Boot I, Sanges C, Hudecek M, Jacobs J, Hort S, Vrijhoef H. Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study. JMIR Human Factors 2024;11:e47031 View
  186. Evans R, Bryant L, Russell G, Absolom K. Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics 2024;183:105342 View
  187. Venkatesh K, Brito G, Kamel Boulos M. Health Digital Twins in Life Science and Health Care Innovation. Annual Review of Pharmacology and Toxicology 2024;64(1):159 View
  188. Kim Y, Choi J, Fotso G. Medical professionals' adoption of AI-based medical devices: UTAUT model with trust mediation. Journal of Open Innovation: Technology, Market, and Complexity 2024;10(1):100220 View
  189. Abdelmoneim R, Jebreen K, Radwan E, Kammoun-Rebai W. Perspectives of Teachers on the Employ of Educational Artificial Intelligence Tools in Education: The Case of the Gaza Strip, Palestine. Human Arenas 2024 View
  190. Chen H, Cohen E, Wilson D, Alfred M. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study. JMIR Human Factors 2024;11:e53378 View
  191. Nong P, Hamasha R, Singh K, Adler-Milstein J, Platt J. How Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation. NEJM AI 2024 View
  192. Veetil I, Chowdary D, Chowdary P, Sowmya V, Gopalakrishnan E. An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. Digital Signal Processing 2024;147:104407 View
  193. Wenderott K, Krups J, Luetkens J, Weigl M. Radiologists’ perspectives on the workflow integration of an artificial intelligence-based computer-aided detection system: A qualitative study. Applied Ergonomics 2024;117:104243 View
  194. 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 View
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Books/Policy Documents

  1. Diaz-Flores E, Meyer T, Giorkallos A. Smart Biolabs of the Future. View
  2. Azzali I, Cilia N, De Stefano C, Fontanella F, Giacobini M, Vanneschi L. Applications of Evolutionary Computation. View
  3. Whitehead S, Petryk S, Shakib V, Gonzalez J, Darrell T, Rohrbach A, Rohrbach M. Computer Vision – ECCV 2022. View
  4. Dykstra S, White J, Gavrilova M. Handbook of Artificial Intelligence in Healthcare. View
  5. Korngiebel D, Solomonides A, Goodman K. Intelligent Systems in Medicine and Health. View
  6. Nesterenko K, Lewis R. Foundations of Intelligent Systems. View
  7. Tuncer S, Ramirez A. HCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence. View
  8. Ganapathy K. Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence. View
  9. D. J, A. P. Encyclopedia of Data Science and Machine Learning. View
  10. Rueckert D, Knolle M, Duchateau N, Razavi R, Kaissis G. AI and Big Data in Cardiology. View
  11. Rao Bhavaraju S. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1. View
  12. Brown E, Hannah-Shmouni F, Shekhar S. Artificial Intelligence in Clinical Practice. View
  13. Awotunde J, Imoize A, Adeniyi A, Abiodun K, Ayo E, Kavitha K, Ajamu G, Ogundokun R. Explainable Machine Learning for Multimedia Based Healthcare Applications. View
  14. Beani E, Filogna S, Cioni G, Sgandurra G. Family-Centered Care in Childhood Disability. View
  15. Wang B, Zhou J, Li Y, Chen F. AI 2023: Advances in Artificial Intelligence. View
  16. Faruqe F, Medsker L, Watkins R. Cutting Edge Applications of Computational Intelligence Tools and Techniques. View