ArticleFrontiers in global women's health2023
Raising awareness of sex and gender bias in artificial intelligence and health.
Article in Frontiers in global women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Toward equitable digital health: an integrated framework addressing exclusion, ethics, and implementation across healthcare systems.International journal for equity in health · 2026Review
- Evaluating an Artificial Intelligence software for opportunistic low bone mineral density and osteoporosis screening: a validation study.JBMR plus · 2026Article
- Critical role of EEG signals in assessment of sex-specific insights in neurological diagnostics via machine learning approach.Scientific reports · 2025Article
- New chapter in pediatric medicine: technological evolution, application, and evaluation system of large language models.European journal of pediatrics · 2025Review
- Artificial Intelligence in migrant health: a critical perspective on opportunities and risks.The Lancet regional health. Europe · 2025Review
- Perspectives and Experiences With Large Language Models in Health Care: Survey Study.Journal of medical Internet research · 2025Article
- Artificial Intelligence Literacy Levels of Perioperative Nurses: The Case of Türkiye.Nursing & health sciences · 2025Article
- The use of artificial intelligence in sexual and reproductive health: a comprehensive scoping review.npj women's health · 2025Article
- Biases in Artificial Intelligence Application in Pain Medicine.Journal of pain research · 2025Review
- [Health for whom? Intersectionality and biases in the use of artificial intelligence in clinical diagnosis].Anales del sistema sanitario de Navarra · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Historically, biomedical research has been led by and focused on men. The recent introduction of Artificial Intelligence (AI) in this area has further proven this practice to be discriminatory for other sexes and genders, more noticeably for women. To move towards a fair AI development, it is essential to include sex and gender diversity both in research practices and in the workplace. In this context, the Bioinfo4women (B4W) program of the Barcelona Supercomputing Center (i) promotes the participation of women scientists by improving their visibility, (ii) fosters international collaborations between institutions and programs and (iii) advances research on sex and gender bias in AI and health. In this article, we discuss methodology and results of a series of conferences, titled “Sex and Gender Bias in Artificial Intelligence and Health, organized by B4W and La Caixa Foundation from March to June 2021 in Barcelona, Spain. The series consisted of nine hybrid events, composed of keynote sessions and seminars open to the general audience, and two working groups with invited experts from different professional backgrounds (academic fields such as biology, engineering, and sociology, as well as NGOs, journalists, lawyers, policymakers, industry). Based on this awareness-raising action, we distilled key recommendations to facilitate the inclusion of sex and gender perspective into public policies, educational programs, industry, and biomedical research, among other sectors, and help overcome sex and gender biases in AI and health.
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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.