ArticleAsian bioethics review2019
AI-Assisted Decision-making in Healthcare: The Application of an Ethics Framework for Big Data in Health and Research.
Article in Asian bioethics review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Perceptions of, Barriers to, and Facilitators of the Use of AI in Primary Care: Systematic Review of Qualitative Studies.Journal of medical Internet research · 2025Pooled it
- AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals.JMIR medical education · 2025Pooled it
- Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review.Frontiers in psychiatry · 2024Pooled it
- Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Life and Death Decisions and COVID-19: Investigating and Modeling the Effect of Framing, Experience, and Context on Preference Reversals in the Asian Disease Problem.Topics in cognitive science · 2022Trial
- The Patient Beyond the Dataset: Levinas, Magnifica Humanitas, and the Principle of Non-totalization in AI Healthcare in the Philippines.Journal of religion and health · 2026Article
- Expanding the Taxonomy of Ethical Issues in Surgical Innovation.Bioethics · 2026Article
- Discursive Ethics as a Normative Foundation for Integrating Ethics into AI Clinical Decision Support Systems.Science and engineering ethics · 2026Article
- Ethical AI in healthcare: insights from European policy discourses.BMC medical ethics · 2026Article
- Advice quality and source disclosure shape trust in AI-generated ethical advice.Scientific reports · 2026Article
- Artificial intelligence for colposcopic and cytological image analysis in early cervical cancer detection.iScience · 2026Review
- A neuromuscular clinician's primer on machine learning.Journal of neuromuscular diseases · 2026Review
- Reimagining healthcare education through nurturing AI-driven innovation.BMC medical education · 2025Review
- Artificial Intelligence for the Diagnosis and Management of Cancers: Potentials and Challenges.MedComm · 2025Review
- Role of artificial intelligence in virtual emergency care: a protocol for a systematic review.BMJ open · 2025Article
- Challenges and implications of the use of artificial intelligence in health care, with an emphasis on nursing. Scoping review.Investigacion y educacion en enfermeria · 2025Article
- Article
- Turkish adaptation of the artificial intelligence ethics scale (EAI): a validity and reliability study for nursing students.BMC psychology · 2025Article
- A community-based approach to ethical decision-making in artificial intelligence for health care.JAMIA open · 2025Review
- Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals' perspectives in the UK.BMC medical ethics · 2025Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is set to transform healthcare. Key ethical issues to emerge with this transformation encompass the accountability and transparency of the decisions made by AI-based systems, the potential for group harms arising from algorithmic bias and the professional roles and integrity of clinicians. These concerns must be balanced against the imperatives of generating public benefit with more efficient healthcare systems from the vastly higher and accurate computational power of AI. In weighing up these issues, this paper applies the deliberative balancing approach of the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.