{
  "abstract": "The integration of artificial intelligence (AI) and machine learning (ML) into cardiology represents one of the most profound opportunities to transform patient care. Automated diagnostics, predictive analytics and prescriptive treatment recommendations promise to reshape workflows, improve efficiency and get us closer to the much-heralded precision cardiovascular medicine. Yet, as the scoping review by Hussain et al 1 makes clear, this promise is hampered by regulatory shortfalls that could inadvertently compromise both safety and innovation.",
  "authors": [
    {
      "affiliations": [
        "RDM Division of Cardiovascular Medicine, University of Oxford, Oxford, England, UK"
      ],
      "name": "Paul Leeson"
    },
    {
      "affiliations": [
        "Deep Medicine, Nuffield Department of Reproductive and Women’s Health, University of Oxford, Oxford, UK"
      ],
      "name": "Kazem Rahimi"
    }
  ],
  "title": "AI adoption in cardiology: regulation at a global crossroad",
  "uid": "3418036e-d22d-5d21-a218-b13ef202c6aa"
}