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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 [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]
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“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]
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Principles of Clinical Ethics and Their Application to Practice
Varkey, B. (2021) · Medical Principles and Practice · doi:10.1159/000509119 · Cited by 1,171 · cited 1×
“Therefore, before integrating artificial intelligence with the healthcare system, practitioners and specialists should consider all four medical ethics principles, including autonomy, beneficence, nonmaleficence, and justice in all aspects of health care (2-6) (Fig.”
BackgroundOverview of artificial intelligence in medicine
Amisha, Malik, P., Pathania, M., & Rathaur, V. K. (2019) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_440_19 · Cited by 1,106 · cited 1×
“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
Nordling, L. (2019) · Nature · doi:10.1038/d41586-019-02872-2 · Cited by 90
Jahn, W. T. (2011) · Journal of Chiropractic Medicine · doi:10.1016/j.jcm.2011.08.004 · Cited by 69
Markose, A., Krishnan, R., & Ramesh, M. (2016) · Journal of Pharmacy And Bioallied Sciences · doi:10.4103/0975-7406.191934 · Cited by 35
Research works printed but not linked: 2
- [6]Farhud DD (2019). Epigenetic and Ethics: How are Ethical Traits Inherited? International Journal of Ethics & Society (IJES), 1: 1– 4.
- [11]Informed Consent: American Medical Association (AMA). https://www.ama-assn.org/delivering-care/ethics/informed-consent
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Marques, M., Almeida, A. M., & Pereira, H. (2024) · Cureus · doi:10.7759/cureus.69405 · Cited by 58
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Metadata
- 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
- Physical Sciences › Computer Science › Artificial Intelligence › 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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