{
  "id": 8768,
  "url": "https://doi.org/10.1038/s41746-020-0288-5",
  "title": "Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare",
  "summary": "Precision Medicine implies a deep understanding of inter-individual differences in health and disease that are due to genetic and environmental factors. To acquire such understanding there is a need for the implementation of different types of technologies based on artificial intelligence (AI) that enable the identification of biomedically relevant patterns, facilitating progress towards individually tailored preventative and therapeutic interventions. Despite the significant scientific advances",
  "authors": "Davide Cirillo, Silvina Catuara‐Solarz, Czuee Morey, Emre Güney, Laia Subirats, Simona Mellino",
  "category": "research",
  "topics": "healthcare,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2020-06-01T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:43.491Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8768",
  "original_url": "https://doi.org/10.1038/s41746-020-0288-5",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}