Published on in Vol 8 , No 2 (2021) :Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28236, first published .
Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review

Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review

Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review

Authors of this article:

Onur Asan 1 Author Orcid Image ;   Avishek Choudhury 1 Author Orcid Image

Journals

  1. Feng J, Phillips R, Malenica I, Bishara A, Hubbard A, Celi L, Pirracchio R. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digital Medicine 2022;5(1) View
  2. Hedlund M. Distribution of Forward-Looking Responsibility in the EU Process on AI Regulation. Frontiers in Human Dynamics 2022;4 View
  3. Sibbald M, Abdulla B, Keuhl A, Norman G, Monteiro S, Sherbino J. Electronic Diagnostic Support in Emergency Physician Triage: Qualitative Study With Thematic Analysis of Interviews. JMIR Human Factors 2022;9(3):e39234 View
  4. Vasey B, Nagendran M, Campbell B, Clifton D, Collins G, Denaxas S, Denniston A, Faes L, Geerts B, Ibrahim M, Liu X, Mateen B, Mathur P, McCradden M, Morgan L, Ordish J, Rogers C, Saria S, Ting D, Watkinson P, Weber W, Wheatstone P, McCulloch P. Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. BMJ 2022:e070904 View
  5. Beegle C, Hasani N, Maass-Moreno R, Saboury B, Siegel E. Artificial Intelligence and Positron Emission Tomography Imaging Workflow. PET Clinics 2022;17(1):31 View
  6. Sibbald M, Zwaan L, Yilmaz Y, Lal S. Incorporating artificial intelligence in medical diagnosis: A case for an invisible and (un)disruptive approach. Journal of Evaluation in Clinical Practice 2022 View
  7. Choudhury A, Asan O, Medow J. Effect of risk, expectancy, and trust on clinicians’ intent to use an artificial intelligence system -- Blood Utilization Calculator. Applied Ergonomics 2022;101:103708 View
  8. Vasey B, Nagendran M, Campbell B, Clifton D, Collins G, Denaxas S, Denniston A, Faes L, Geerts B, Ibrahim M, Liu X, Mateen B, Mathur P, McCradden M, Morgan L, Ordish J, Rogers C, Saria S, Ting D, Watkinson P, Weber W, Wheatstone P, McCulloch P, Lee A, Fraser A, Connell A, Vira A, Esteva A, Althouse A, Beam A, de Hond A, Boulesteix A, Bradlow A, Ercole A, Paez A, Tsanas A, Kirby B, Glocker B, Velardo C, Park C, Hehakaya C, Baber C, Paton C, Johner C, Kelly C, Vincent C, Yau C, McGenity C, Gatsonis C, Faivre-Finn C, Simon C, Sent D, Bzdok D, Treanor D, Wong D, Steiner D, Higgins D, Benson D, O’Regan D, Gunasekaran D, Danks D, Neri E, Kyrimi E, Schwendicke F, Magrabi F, Ives F, Rademakers F, Fowler G, Frau G, Hogg H, Marcus H, Chan H, Xiang H, McIntyre H, Harvey H, Kim H, Habli I, Fackler J, Shaw J, Higham J, Wohlgemut J, Chong J, Bibault J, Cohen J, Kers J, Morley J, Krois J, Monteiro J, Horovitz J, Fletcher J, Taylor J, Yoon J, Singh K, Moons K, Karpathakis K, Catchpole K, Hood K, Balaskas K, Kamnitsas K, Militello L, Wynants L, Oakden-Rayner L, Lovat L, Smits L, Hinske L, ElZarrad M, van Smeden M, Giavina-Bianchi M, Daley M, Sendak M, Sujan M, Rovers M, DeCamp M, Woodward M, Komorowski M, Marsden M, Mackintosh M, Abramoff M, de la Hoz M, Hambidge N, Daly N, Peek N, Redfern O, Ahmad O, Bossuyt P, Keane P, Ferreira P, Schnell-Inderst P, Mascagni P, Dasgupta P, Guan P, Barnett R, Kader R, Chopra R, Mann R, Sarkar R, Mäenpää S, Finlayson S, Vollam S, Vollmer S, Park S, Laher S, Joshi S, van der Meijden S, Shelmerdine S, Tan T, Stocker T, Giannini V, Madai V, Newcombe V, Ng W, Rogers W, Ogallo W, Park Y, Perkins Z. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nature Medicine 2022;28(5):924 View
  9. Ciecierski-Holmes T, Singh R, Axt M, Brenner S, Barteit S. Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review. npj Digital Medicine 2022;5(1) View
  10. Choudhury A, Asan O. Impact of accountability, training, and human factors on the use of artificial intelligence in healthcare: Exploring the perceptions of healthcare practitioners in the US. Human Factors in Healthcare 2022;2:100021 View
  11. Wenderott K, Gambashidze N, Weigl M. Integration of Artificial Intelligence Into Sociotechnical Work Systems—Effects of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: Protocol for a Systematic Literature Review. JMIR Research Protocols 2022;11(12):e40485 View
  12. Wu C, Xu H, Bai D, Chen X, Gao J, Jiang X. Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis. BMJ Open 2023;13(1):e066322 View
  13. Tulk Jesso S, Kelliher A, Sanghavi H, Martin T, Henrickson Parker S. Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review. Frontiers in Psychology 2022;13 View
  14. Choudhury A, Asan O. Impact of cognitive workload and situation awareness on clinicians’ willingness to use an artificial intelligence system in clinical practice. IISE Transactions on Healthcare Systems Engineering 2023;13(2):89 View
  15. Lee Y, Lee Y. Designing AI Agent’s Social Interaction Quality in AI-based Fitness Services as a Mediator. Archives of Design Research 2022;35(3):145 View
  16. Cabitza F, Campagner A, Natali C, Parimbelli E, Ronzio L, Cameli M. Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting. Machine Learning and Knowledge Extraction 2023;5(1):269 View
  17. Apostolopoulos I, Groumpos P. Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence. Applied Sciences 2023;13(6):3412 View
  18. Afshar M, Adelaine S, Resnik F, Mundt M, Long J, Leaf M, Ampian T, Wills G, Schnapp B, Chao M, Brown R, Joyce C, Sharma B, Dligach D, Burnside E, Mahoney J, Churpek M, Patterson B, Liao F. Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults. JMIR Medical Informatics 2023;11:e44977 View
  19. Liaw W, Ramos Silva Y, Soltero E, Krist A, Stotts A. Assessing How Clinicians and Staff Would Use a Diabetes Artificial Intelligence Prediction Tool (Preprint). JMIR AI 2022 View
  20. Wang B, Asan O, Mansouri M. Systems Approach in Telemedicine Adoption During and After COVID-19: Roles, Factors, and Challenges. IEEE Open Journal of Systems Engineering 2023;1:38 View
  21. robinson r, Liday C, Lee S, Willams I, Wright M, An D, Nguyen E. Artificial intelligence in healthcare: Understanding patient information needs and designing comprehensible transparency (Preprint). JMIR AI 2023 View

Books/Policy Documents

  1. Blandford A. Handbook of Human Computer Interaction. View