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

Viewpoints and Perspectives (521) Clinical Information and Decision Making (1424) Quality/Credibility of eHealth Information and Trust Issues (542)

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

Authors of this article:

Onur Asan1 Author Orcid Image ;   Alparslan Emrah Bayrak1 Author Orcid Image ;   Avishek Choudhury1 Author Orcid Image
Article Authors Cited by (340) Tweetations (187) Metrics

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  249. Basuli D, Kavcar A, Roy S. From bytes to nephrons: AI’s journey in diabetic kidney disease. Journal of Nephrology 2024 View
  250. Perivolaris A, Adams-McGavin C, Madan Y, Kishibe T, Antoniou T, Mamdani M, Jung J. Quality of interaction between clinicians and artificial intelligence systems. A systematic review. Future Healthcare Journal 2024;11(3):100172 View
  251. Sun Y, Xu C, Xu H. Social identity in trusting artificial intelligence agents: Evidence from lab and online experiments. Managerial and Decision Economics 2024;45(8):5899 View
  252. Enns K, Ferdous K, Balasubramanian S, Ghosh S, Srinivasan V, Thomo A. Are brain networks classifiable?. Network Modeling Analysis in Health Informatics and Bioinformatics 2024;13(1) View
  253. Hindelang M, Sitaru S, Zink A. Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review. JMIR Medical Informatics 2024;12:e56628 View
  254. Gong Y, Tang X, Peng H. The effect of subjective understanding on patients’ trust in AI pharmacy intravenous admixture services. Frontiers in Psychology 2024;15 View
  255. Mooghali M, Stroud A, Yoo D, Barry B, Grimshaw A, Ross J, Zhu X, Miller J. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review. BMC Medical Informatics and Decision Making 2024;24(1) View
  256. Fornalik M, Makuch M, Lemanska A, Moska S, Wiczewska M, Anderko I, Stochaj L, Szczygiel M, Zielińska A. Rise of the machines: trends and challenges of implementing AI in biomedical scientific writing. Exploration of Digital Health Technologies 2024;2(5):235 View
  257. Wu J, Lin S, Moghimi S. Application of artificial intelligence in glaucoma care: An updated review. Taiwan Journal of Ophthalmology 2024;14(3):340 View
  258. G C, Basarkod P. A survey on blockchain security for electronic health record. Multimedia Tools and Applications 2024 View
  259. Seth I, Lim B, Phan R, Xie Y, Kenney P, Bukret W, Thomsen J, Cuomo R, Ross R, Ng S, Rozen W. Perforator Selection with Computed Tomography Angiography for Unilateral Breast Reconstruction: A Clinical Multicentre Analysis. Medicina 2024;60(9):1500 View
  260. Alnasser A, Hassanain M, Alnasser M, Alnasser A. Critical factors challenging the integration of AI technologies in healthcare workplaces: a stakeholder assessment. Journal of Health Organization and Management 2024 View
  261. Bahir D, Zur O, Attal L, Nujeidat Z, Knaanie A, Pikkel J, Mimouni M, Plopsky G. Gemini AI vs. ChatGPT: A comprehensive examination alongside ophthalmology residents in medical knowledge. Graefe's Archive for Clinical and Experimental Ophthalmology 2024 View
  262. Welsh C, Román García S, Barnett G, Jena R. Democratising artificial intelligence in healthcare: community-driven approaches for ethical solutions. Future Healthcare Journal 2024;11(3):100165 View
  263. Abdelaal Y, Aupetit M, Baggag A, Bashir M, Al-Thani D. How Much Wearable Data is Enough for the Utility and Trust of Augmented Artificial Intelligence Systems? A Scenario-Based Interview with Medical Professionals. International Journal of Human–Computer Interaction 2024:1 View
  264. Wenderott K, Krups J, Zaruchas F, Weigl M. Effects of artificial intelligence implementation on efficiency in medical imaging—a systematic literature review and meta-analysis. npj Digital Medicine 2024;7(1) View
  265. Varghese M, Sharma P, Patwardhan M. Public Perception on Artificial Intelligence–Driven Mental Health Interventions: Survey Research. JMIR Formative Research 2024;8:e64380 View
  266. Högberg C, Larsson S, Lång K. Engaging with artificial intelligence in mammography screening: Swedish breast radiologists’ views on trust, information and expertise. DIGITAL HEALTH 2024;10 View
  267. Lifshits I, Rosenberg D. Artificial intelligence in nursing education: A scoping review. Nurse Education in Practice 2024;80:104148 View
  268. Smith A, Arena R, Bacon S, Faghy M, Grazzi G, Raisi A, Vermeesch A, Ong'wen M, Popovic D, Pronk N. Recommendations on the use of artificial intelligence in health promotion. Progress in Cardiovascular Diseases 2024;87:37 View
  269. Abdullah M, Aziz A, Kadir M, Martono S, Yulianto A, Wijaya A. The Effects of Dynamic Link Between Sustainable Development Goals (SDGs) And Medical Tourism: A Study of Medical Tourist Intention in Malaysia and Indonesia. Journal of Lifestyle and SDGs Review 2024;4(4):e02508 View
  270. Yanlin Liu , Jiayi Wang . AI-Driven Health Advice: Evaluating the Potential of Large Language Models as Health Assistants. Journal of Computational Methods in Engineering Applications 2023:1 View
  271. Tsumura T, Yamada S. Making a human's trust repair for an agent in a series of tasks through the agent's empathic behavior. Frontiers in Computer Science 2024;6 View
  272. Abas Mohamed Y, Ee Khoo B, Shahrimie Mohd Asaari M, Ezane Aziz M, Rahiman Ghazali F. Decoding the black box: Explainable AI (XAI) for cancer diagnosis, prognosis, and treatment planning-A state-of-the art systematic review. International Journal of Medical Informatics 2025;193:105689 View
  273. Giebel G, Raszke P, Nowak H, Palmowski L, Adamzik M, Heinz P, Tokic M, Timmesfeld N, Brunkhorst F, Wasem J, Blase N. Problems and Barriers Related to the Use of AI-based CDSS: An Interview Study (Preprint). Journal of Medical Internet Research 2024 View
  274. Sperling J, Welsh W, Haseley E, Quenstedt S, Muhigaba P, Brown A, Ephraim P, Shafi T, Waitzkin M, Casarett D, Goldstein B. Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use. Journal of the American Medical Informatics Association 2024 View
  275. 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
  276. Hoebers F, Wee L, Likitlersuang J, Mak R, Bitterman D, Huang Y, Dekker A, Aerts H, Kann B. Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods. BJR|Open 2023;6(1) View
  277. Su J, Zhang Y, Ke Q, Su J, Yang Q. Mobilizing artificial intelligence to cardiac telerehabilitation. Reviews in Cardiovascular Medicine 2022;23(2) View
  278. Haykal D. Emerging and Pioneering AI Technologies in Aesthetic Dermatology: Sketching a Path Toward Personalized, Predictive, and Proactive Care. Cosmetics 2024;11(6):206 View
  279. Abdelaziz S, Garfield S, Neves A, Lloyd J, Norton J, van Dael J, Wheeler C, McLeod M, Franklin B. What are the unintended patient safety consequences of healthcare technologies? A qualitative study among patients, carers and healthcare providers. BMJ Open 2024;14(11):e089026 View
  280. Lin C, Kuo Y, Wang T. Trust and acceptance of AI caregiving robots: The role of ethics and self-efficacy. Computers in Human Behavior: Artificial Humans 2024:100115 View
  281. Islam S, Deo R, Datta Barua P, Soar J, Yu P, Rajendra Acharya U. Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012–2023). IEEE Access 2024;12:176630 View
  282. Chen H, Alfred M, Brown A, Atinga A, Cohen E. Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study. JMIR Formative Research 2024;8:e59045 View
  283. Goodman J, Milne R. Signalling and rich trustworthiness in data-driven healthcare: an interdisciplinary approach. Data & Policy 2024;6 View
  284. Song D. How Learners’ Trust Changes in Generative AI over a Semester of Undergraduate Courses. International Journal of Artificial Intelligence in Education 2024 View

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
  17. Aliferis C, Simon G. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences. View
  18. Kruczkowski M, Drabik-Kruczkowska A, Wesołowski R, Kloska A, Pinheiro M, Fernandes L, Galan S. . View
  19. Singh V. Artificial Intelligence and Machine Learning for Women’s Health Issues. View
  20. Singhal S, Sharma A, Singh A, Pandey A, Sharma A. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models. View
  21. Wong B, Vengusamy S, Chua C. Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies. View
  22. Güven S, Bolatan G, Daim T. Artificial Intelligence and Business Transformation. View
  23. Triplett W. Pioneering Paradigms in Organizational Research and Consulting Interventions. View
  24. Kamel Boulos M. Next Generation eHealth. View
  25. Begum S, Paul S. Opportunities and Risks in AI for Business Development. View
  26. Bertl M, Lamo Y, Leucker M, Margaria T, Mohammadi E, Mukhiya S, Pechmann L, Piho G, Rabbi F. Bridging the Gap Between AI and Reality. View
  27. Kostadinov R, Topalov V, Georgieva M, Georgiev S, Madzharov Y. Environmental Protection and Disaster Risks (EnviroRisks 2024). View
  28. Bottino L, Settino M, Cannataro M. Artificial Intelligence in Orthopaedic Surgery Made Easy. View
  29. Megahd N, El Kayaly D, Ammar A. Ethical Challenges for the Future of Neurosurgery. View