Evidence map›Paper›PMID 42890741›Full record

ArticlePatterns (New York, N.Y.)2026

Ethical principles and considerations in health AI.

Yilin Ning, Yian Ma, Mingxuan Liu, Gary S Collins, Arun James Thirunavukarasu, Melissa D McCradden, Jasmine Chiat Ling Ong, Yuhe Ke, Daniel Shu Wei Ting, Danielle S Bitterman and 9 more

Abstract readNews
PubMed Full text at PMC Publisher
In one paragraph

Article in Patterns (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Yilin NingCentre for Biomedical Data Science, Duke-NUS Medical School, Singapore, Singapore.
Yian MaCentre for Biomedical Data Science, Duke-NUS Medical School, Singapore, Singapore.
Mingxuan LiuCentre for Biomedical Data Science, Duke-NUS Medical School, Singapore, Singapore.
Gary S CollinsDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Arun James ThirunavukarasuInternational Centre for Eye Health, London School of Hygiene and Tropical Medicine, London, UK.
Melissa D McCraddenAustralian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia.
Jasmine Chiat Ling OngDuke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore.
Yuhe KeDuke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore.
Daniel Shu Wei TingOphthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore.
Danielle S BittermanArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Yih Chung ThamOphthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore.
Alastair K DennistonDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Pearse A KeaneInstitute of Ophthalmology, University College London, London, UK.
Josip CarSchool of Life Course and Population Health Sciences, King's College London, London, UK.
Patrick TanCancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, Singapore.
Karel G M MoonsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Tien Yin WongSingapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.
Eric J TopolScripps Research Translational Institute, Scripps Research, La Jolla, CA, USA.
Nan LiuCentre for Biomedical Data Science, Duke-NUS Medical School, Singapore, Singapore.

Funding

Scripps Clinical and Translational Science HubUM1TR004407 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI Eric Jeffrey Topol · 2023 to 2026
$24.2M
NCATS NIH HHS UM1 TR004407
6 · The paper itself

Abstract

Ethical principles are foundations of medicine and should guide the integration and implementation of health AI but are often considered in isolation, typically at deployment. The authors argue that ethical principles are fundamental constructs across the full AI development-deployment life cycle and show how trade-offs and dependencies between principles shape feasible and ethically robust development and use of health AI, particularly in low-resource settings.

Identifiers

PMID42890741
PMCPMC13674299

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.