{
  "abstract": "The UK’s new 10-Year Health Plan for England sets out an ambitious agenda for an increasingly digitised and data-driven healthcare system, where artificial intelligence (AI) is expected to play a major role in realising long-term aims to deliver personalised medicine for all. A recent study highlighted poor consideration of sex and gender in National Institute for Health and Care Excellence clinical guidelines, which will be used to train AI models used by the NHS. When AI models are trained on inequitable data, they risk amplifying bias, with harmful implications for patient safety.",
  "authors": [
    {
      "affiliations": [
        "The George Institute for Global Health UK, London, England, UK"
      ],
      "name": "Alice Witt"
    },
    {
      "affiliations": [
        "The George Institute for Global Health UK, London, England, UK"
      ],
      "name": "Rachel Hulme"
    },
    {
      "affiliations": [
        "Imperial College London, London, England, UK"
      ],
      "name": "Owen Wilkinson"
    },
    {
      "affiliations": [
        "The George Institute for Global Health UK, London, England, UK",
        "Imperial College London, London, England, UK",
        "The George Institute for Global Health, Sydney, New South Wales, Australia",
        "UNSW Sydney, Sydney, New South Wales, Australia"
      ],
      "name": "Robyn Norton"
    },
    {
      "affiliations": [
        "The George Institute for Global Health UK, London, England, UK",
        "Imperial College London, London, England, UK",
        "The University of Edinburgh College of Medicine and Veterinary Medicine, Edinburgh, Scotland, UK"
      ],
      "name": "Kate Womersley"
    }
  ],
  "title": "An AI-enhanced NHS will rely on clinical guidelines, but what if the evidence is inequitable?",
  "uid": "5e4d1110-ce62-5e7f-bc4a-99a9d511c83d"
}