An AI-enhanced NHS will rely on clinical guidelines, but what if the evidence is inequitable?
This paper examines how poor consideration of sex and gender in National Institute for Health and Care Excellence clinical guidelines may lead to biased artificial intelligence models within the NHS healthcare system.
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This commentary article argues that the integration of artificial intelligence into healthcare systems, such as the NHS, is fundamentally dependent on the quality and equity of underlying clinical guidelines. The authors highlight a critical risk where biased or inequitable evidence used to train these AI models could perpetuate or exacerbate existing health disparities among patient populations. As a commissioned opinion piece rather than original research, it does not present new data but instead critiques the ethical implications of relying on potentially flawed evidence bases for automated decision-making tools. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.
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- last seen: 2026-09-13T09:25:22.628771+00:00