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

Ethical, Legal, and Social Issues in AI (43) Applications of AI (130)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51204, first published .
Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications

Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications

Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications

Authors of this article:

Lukas Weidener1 Author Orcid Image ;   Michael Fischer1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Young J, Chang C, Scales C, Menon S, Holy C, Blackie C. Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study. JMIR AI 2024;3:e48295 View
  2. Jiang L, Xu J, Wu Y, Liu Y, Wang X, Hu Y. Effects of the “AI-TA” Mobile App With Intelligent Design on Psychological and Related Symptoms of Young Survivors of Breast Cancer: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e50783 View
  3. Kale M, Wankhede N, Pawar R, Ballal S, Kumawat R, Goswami M, Khalid M, Taksande B, Upaganlawar A, Umekar M, Kopalli S, Koppula S. AI-driven innovations in Alzheimer's disease: Integrating early diagnosis, personalized treatment, and prognostic modelling. Ageing Research Reviews 2024;101:102497 View
  4. Sallam M, Al-Mahzoum K, Almutairi Y, Alaqeel O, Abu Salami A, Almutairi Z, Alsarraf A, Barakat M. Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study. International Medical Education 2024;3(4):406 View
  5. Schneider-Kamp A, Askegaard S. The limits of artificial intelligence: prospects and challenges in the clinical workplace. Current Opinion in Epidemiology and Public Health 2024 View
  6. D’Adderio L, Bates D. Transforming diagnosis through artificial intelligence. npj Digital Medicine 2025;8(1) View
  7. Kuo T, Gabriel R, Koola J, Schooley R, Ohno-Machado L. Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals. Nature Communications 2025;16(1) View

Books/Policy Documents

  1. Khan A, Omokhoa V, Afzal S. Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems. View