Ensuring machine learning for healthcare works for all
- PMID: 33234535
- PMCID: PMC7689076
- DOI: 10.1136/bmjhci-2020-100237
Ensuring machine learning for healthcare works for all
Keywords: health care; medical informatics; patient care.
Conflict of interest statement
Competing interests: MG acts as an advisor to Radical Ventures in Toronto.
References
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- Zhang H, AX L, Abdalla M, et al. Hurtful words: quantifying biases in clinical contextual word embeddings. Proceedings of the ACM Conference on Health, Inference, and Learning. CHIL ’20. Association for Computing Machinery, 2020:110–20.
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- Chen IY, Szolovits P, Ghassemi M. Can AI help reduce disparities in general medical and mental health care? AMA J Ethics 2019;21:167–79. - PubMed
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- Nuffield Council on bioethics Artificial intelligence (AI) in healthcare and research In: Bioethics Briefing note, 2018: 1–8.
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- Centre for Data Ethics and Innovation CDEI AI barometer, 2020. Available: https://assets.publishing.service.gov.uk/government/uploads/system/uploa...
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