Published on in Vol 23, No 12 (2021): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/26611, first published
.
Journals
- Rosario B, Zhang A, Patel M, Rajmane A, Xie N, Weeraratne D, Alterovitz G. Characterizing Thrombotic Complication Risk Factors Associated With COVID-19 via Heterogeneous Patient Data: Retrospective Observational Study. Journal of Medical Internet Research 2022;24(10):e35860 View
- Wellnhofer E. Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging. Frontiers in Cardiovascular Medicine 2022;9 View
- 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
- Herbert P, Hou K, Bradley C, Hager G, Boland M, Ramulu P, Unberath M, Yohannan J. Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data. Ophthalmology Glaucoma 2023;6(5):466 View
- Hong S, Hwang E, Kim S, Song J, Lee T, Jo G, Choi Y, Park C, Goo J. Methods of Visualizing the Results of an Artificial-Intelligence-Based Computer-Aided Detection System for Chest Radiographs: Effect on the Diagnostic Performance of Radiologists. Diagnostics 2023;13(6):1089 View
- Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study. JMIR Formative Research 2023;7:e43958 View
- Sageshima J, Than P, Goussous N, Mineyev N, Perez R. Prediction of High-Risk Donors for Kidney Discard and Nonrecovery Using Structured Donor Characteristics and Unstructured Donor Narratives. JAMA Surgery 2024;159(1):60 View
- Wang H, Wu W, Dou Z, He L, Yang L. Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI. International Journal of Medical Informatics 2023;177:105173 View
- Calvas P. Chapitre 7. Un regard de généticien. Journal international de bioéthique et d'éthique des sciences 2023;Vol. 34(2):111 View
- Tang L, Li J, Fantus S. Medical artificial intelligence ethics: A systematic review of empirical studies. DIGITAL HEALTH 2023;9 View
- Borondy Kitts A. Patient Perspectives on Artificial Intelligence in Radiology. Journal of the American College of Radiology 2023;20(9):863 View
- Gould D, Dowsey M, Glanville-Hearst M, Spelman T, Bailey J, Choong P, Bunzli S. Patients’ Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e43632 View
- Holm S, Ploug T, Fiaschetti M. Population preferences for AI system features across eight different decision-making contexts. PLOS ONE 2023;18(12):e0295277 View
- Aziz D, Maganti K, Yanamala N, Sengupta P. The Role of Artificial Intelligence in Echocardiography: A Clinical Update. Current Cardiology Reports 2023;25(12):1897 View
- Machado H, Silva S, Neiva L. Publics’ views on ethical challenges of artificial intelligence: a scoping review. AI and Ethics 2023 View
- Frost E, O’Shaughnessy P, Steel D, Braunack-Mayer A, Aquino Y, Carter S. Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey. BMJ Health & Care Informatics 2023;30(1):e100714 View
- 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
- Hwang E, Jeong W, David P, Arentz M, Ruhwald M, Yoon S. AI for Detection of Tuberculosis: Implications for Global Health. Radiology: Artificial Intelligence 2024 View
- Frost E, Bosward R, Aquino Y, Braunack-Mayer A, Carter S. Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods. International Journal of Medical Informatics 2024;186:105417 View
- Yang Y, Ngai E, Wang L. Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda. Information & Management 2024;61(4):103961 View
- Lin S, Ma Y, Jiang Y, Li W, Peng Y, Yu T, Xu Y, Zhu J, Lu L, Zou H. Service Quality and Residents’ Preferences for Facilitated Self-Service Fundus Disease Screening: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e45545 View
- Messelink M, Fadaei S, Verhoef L, Welsing P, Nijhof N, Westland H. Rheumatoid arthritis patients’ perspective on the use of prediction models in clinical decision-making. Rheumatology 2024 View
- Gerdes A. The role of explainability in AI-supported medical decision-making. Discover Artificial Intelligence 2024;4(1) View
- Bouhouita-Guermech S, Haidar H. Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context. Asian Bioethics Review 2024;16(3):315 View
- Botha N, Ansah E, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F. Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality. BMC Digital Health 2024;2(1) View
- Gerdes A, Fasterholdt I, Rasmussen B. AI ethics in healthcare. Ugeskrift for Læger 2024:1 View
- Holm S, Ploug T. Co-Reasoning and Epistemic Inequality in AI Supported Medical Decision-Making. The American Journal of Bioethics 2024;24(9):79 View