{
  "abstract": "Health systems are under increasing pressure as chronic disease becomes the dominant burden of care. Addressing this requires earlier detection and prevention, and predictive artificial intelligence (AI) tools are a demonstrable means of targeting interventions more effectively. Despite extensive research activity and substantial public funding, few predictive AI tools are translated effectively into routine care. We argue that the primary translational barrier is now organisational rather than solely methodological: without defined institutional ownership and long-term stewardship, including to support obtaining and maintaining regulatory certification and navigating governance structures, predictive AI tools cannot progress beyond print. Three interdependent recommendations are proposed to address this problem.",
  "authors": [
    {
      "affiliations": [
        "Institute for Mental Health, University of Birmingham, Birmingham, UK",
        "Birmingham and Solihull Mental Health NHS Foundation Trust, Birmingham, UK"
      ],
      "name": "Benjamin I Perry"
    },
    {
      "affiliations": [
        "Applied Health Sciences, University of Birmingham, Birmingham, UK"
      ],
      "name": "Ben Hammond"
    },
    {
      "affiliations": [
        "Department of Psychiatry, University of Oxford, Oxford, UK"
      ],
      "name": "Dominic Oliver"
    },
    {
      "affiliations": [
        "Expert by Experience, NA, UK"
      ],
      "name": "Ashley Mushambi"
    },
    {
      "affiliations": [
        "Expert by Experience, NA, UK"
      ],
      "name": "Carina Andrews"
    },
    {
      "affiliations": [
        "THIS Institute, University of Cambridge, UK"
      ],
      "name": "Niels Peek"
    },
    {
      "affiliations": [
        "Department of Development and Regeneration, Katholieke Universiteit Leuven, Leuven, Flanders, Belgium"
      ],
      "name": "Ben Van Calster"
    },
    {
      "affiliations": [
        "Care and Public Health Research Institute, Maastricht University, Maastricht, Limburg, Netherlands"
      ],
      "name": "Laure Wynants"
    },
    {
      "affiliations": [
        "The McPin Foundation, London, UK"
      ],
      "name": "Annabel E L Walsh"
    },
    {
      "affiliations": [
        "Inflammation and Ageing, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK"
      ],
      "name": "Joseph E Alderman"
    },
    {
      "affiliations": [
        "Institute for Mental Health, University of Birmingham, Birmingham, UK"
      ],
      "name": "Shuqing Si"
    },
    {
      "affiliations": [
        "Inflammation and Ageing, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK",
        "Centre for Regulatory Science & Innovation, Birmingham Health Partners, Birmingham, Birmingham, UK"
      ],
      "name": "Alastair K Denniston"
    },
    {
      "affiliations": [
        "Public Health and Primary Care, University of Cambridge, Cambridge, UK"
      ],
      "name": "Simon J Griffin"
    },
    {
      "affiliations": [
        "Applied Health Sciences, University of Birmingham, Birmingham, UK"
      ],
      "name": "Joie Ensor"
    }
  ],
  "title": "Missing infrastructure for real-world predictive AI impact",
  "uid": "fbc65df9-0dff-5907-9483-4a1b6e2cc029"
}