ArticleThe Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics2022
Mitigating Racial Bias in Machine Learning.
Article in The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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
32 citing papers in PubMed.
- Assessing the effect of race on machine learning models predicting hospital admissions from emergency department.JAMIA open · 2026Article
- Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists.Developmental science · 2026Article
- Article
- Scalable Agile Framework for Execution in AI for Medical AI Ethics Policy Design in Small- and Medium-Sized Enterprises.Journal of medical Internet research · 2026Article
- Demographic Disparities in AI-Generated Versus Search-Engine-Sourced Images of Ophthalmologists: A Cross-Sectional Analysis.Vision (Basel, Switzerland) · 2026Article
- Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis.The American journal of bioethics : AJOB · 2026Article
- Automating the assessment of multicultural orientation through machine learning and natural language processing.Psychotherapy (Chicago, Ill.) · 2025Article
- Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health.Journal of medical Internet research · 2025Article
- Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.BMJ health & care informatics · 2025Article
- Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review.PLOS digital health · 2025Article
- Ethical and social considerations of applying artificial intelligence in healthcare-a two-pronged scoping review.BMC medical ethics · 2025Article
- Analysis of Online Crowdfunding Among Patients Pursuing Metabolic and Bariatric Surgery in the United States.Obesity surgery · 2025Article
- Can AI developers avoid bias in public health applications?Frontiers in public health · 2025Article
- Future horizons in diabetes: integrating AI and personalized care.Frontiers in endocrinology · 2025Review
- Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies.The Lancet. Digital health · 2025Article
- Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.Journal of pathology informatics · 2024Review
- Understanding and mitigating the impact of race with adversarial autoencoders.Communications medicine · 2024Article
- Trust criteria for artificial intelligence in health: normative and epistemic considerations.Journal of medical ethics · 2024Article
- Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Article
- Understanding Individual Subject Differences through Large Behavioral Datasets: Analytical and Statistical Considerations.Perspectives on behavior science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.
Indexed as
Identifiers
What OpenQuestion holds
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.