{
  "abstract": "Advances in artificial intelligence (AI) have stimulated discussions about medical superintelligence, yet how to define and evaluate this aspiration remains unclear. We discuss how AI technologies can contribute to more effective care, introducing six interdependent dimensions of medical intelligence to frame contributions of AI to healthcare delivery. As AI capabilities and their integration into clinical workflows advance, improving the quality of care will require more than superhuman performance on isolated tasks. It will require systems that harness AI, independently and in collaboration with humans, to surpass today's strongest human-led health systems in integrated medical reasoning across the full arc of care. Realising their value will require understanding how these capabilities complement existing medical intelligence and combining them effectively to improve the quality and accessibility of care.",
  "abstract_shown": true,
  "affiliations": [
    "Microsoft AI, Microsoft, London, UK.",
    "Harvard Medical School, Boston, Massachusetts, USA.",
    "Scripps Health, San Diego, California, USA.",
    "Microsoft AI, Mountain View, California, USA.",
    "Office of the Chief Scientific Officer, Microsoft, Redmond, Washington, USA."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 14,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Xiaoxuan Liu",
      "orcid": "0000-0002-1286-0038"
    },
    {
      "affs": [
        0
      ],
      "name": "Mayank Daswani"
    },
    {
      "affs": [
        0
      ],
      "name": "Christopher Kelly"
    },
    {
      "affs": [
        0
      ],
      "name": "Harsha Nori"
    },
    {
      "affs": [
        0
      ],
      "name": "Nicola Ding"
    },
    {
      "affs": [
        0
      ],
      "name": "Matthew M Nour"
    },
    {
      "affs": [
        0
      ],
      "name": "Emma Rocheteau"
    },
    {
      "affs": [
        0
      ],
      "name": "Craig Sherstan"
    },
    {
      "affs": [
        0
      ],
      "name": "Viknesh Sounderajah"
    },
    {
      "affs": [
        1
      ],
      "name": "Adrian D Haimovich"
    },
    {
      "affs": [
        2
      ],
      "name": "Eric Topol"
    },
    {
      "affs": [
        3
      ],
      "name": "Mustafa Suleyman"
    },
    {
      "affs": [
        0
      ],
      "name": "Dominic King"
    },
    {
      "affs": [
        4
      ],
      "name": "Eric Horvitz"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dhdvbyhed0xc1.bib",
  "cited_by": 0,
  "doi": "10.1136/bmjdh-2026-000395",
  "fulltext_url": "https://europepmc.org/articles/PMC13691883",
  "id": "dhdvbyhed0xc1",
  "issns": [
    "3049-575X"
  ],
  "landing_url": "https://europepmc.org/article/MED/42920986",
  "language": "eng",
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "R"
    ],
    [
      "lcc",
      "T58.5-58.64"
    ],
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W7223224437",
  "pdf_url": "https://europepmc.org/articles/PMC13691883?pdf=render",
  "pmcid": "PMC13691883",
  "pmid": "42920986",
  "published": "2026-10-22",
  "publisher": "BMJ Publishing Group",
  "ris": "https://research.draconitic.com/paper/dhdvbyhed0xc1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:33Z",
      "native_id": "MED:42920986",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42920986"
    },
    {
      "first_seen": "2026-10-30T13:43:12Z",
      "native_id": "8d816bc9736c436abb3bdd040eb85e8a",
      "source": "doaj",
      "url": "https://doi.org/10.1136/bmjdh-2026-000395"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Medical superintelligence: foundations and aspirations.",
  "title_text": "Medical superintelligence: foundations and aspirations.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:43:12Z",
  "url": "https://research.draconitic.com/paper/dhdvbyhed0xc1",
  "venue": "BMJ digital health & AI",
  "versions": []
}