Ethical Issues of Artificial Intelligence in Medicine and Healthcare
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Training AI systems with culturally representative data and considering local ethical and regulatory contexts may improve trust, relevance, and uptake.
“Training AI systems with culturally representative data and considering local ethical and regulatory contexts may improve trust, relevance, and uptake [87].”
From Generative AI Mental Health Chatbots as Therapeutic Tools: Systematic Review and Meta-Analysis of Their Role in Reducing Mental Health Issues (2025) · cites this paper as [87]
The Introduction says practitioners should consider medical ethics before integrating AI into healthcare, and the Privacy and Data Protection section discusses legal safeguards in different jurisdictions (page numbers unavailable). The paper does not say that culturally representative training data or attention to local contexts improves trust, relevance, or uptake. (LLM, conf=0.84)
Experimental — accuracy not yet measuredIntegration of AI into emotionally sensitive domains such as oncology introduces a new set of unresolved ethical, relational, and epistemological challenges.
“However, despite these advances, the integration of AI into emotionally sensitive domains such as oncology introduces a new set of unresolved ethical, relational, and epistemological challenges [12].”
From Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice (2026) · cites this paper as [12]
The Introduction identifies ethical challenges in healthcare AI, and its “Medical Consultation, Empathy, and Sympathy” section discusses difficulties with empathy and patient–clinician relationships. The paper does not specifically address oncology or identify epistemological challenges, so those parts of the attributed claim are not supported by our copy. (LLM, conf=0.86)
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Cites
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BackgroundOverview of artificial intelligence in medicine
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“Artificial intelligence (AI) is a term applied to a machine or software and refers to its capability of simulating intelligent human behavior, instantaneous calculations, problem-solving, and evaluation of new data based on previously assessed data (1).”
BackgroundA fairer way forward for AI in health care
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Shah-Mohammadi, F., & Finkelstein, J. (2024) · JMIR Medical Informatics · doi:10.2196/56243 · Cited by 16 · see citing works
- Authors
- Farhud, D. D., & Zokaei, S.
- Affiliations
- Iranian Academy of Medical Sciences (IR)
- Islamic Azad University, Tehran (IR)
- Corresponding author
- Farhud, Dariush D.
- ORCID
- Zokaei, Shaghayegh
- Venue
- Iranian Journal of Public Health
- Publisher
- Knowledge E DMCC
- Published
- 2021-10-27
- Volume
- 50
- Issue
- 11
- Pages
- i-v
- ISSN
- 0304-4556 (ISSN-L)
- 2251-6093
- 2251-6085
- PMC
- PMC8826344
- OpenAlex
- W3207467282
- Cited by
- 416
- References
- 5
- Citations by year
- 2026: 77 · 2025: 163 · 2024: 144 · 2023: 32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Iranian Journal of Public Health (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics and bioethics in healthcare
- Keywords
- artificial intelligence, medical ethics, health care ethics, ethical considerations, artificial intelligence in healthcare
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