{
  "abstract": "Ischaemic heart diseases (IHDs) encompass a range of conditions, among which ST-segment elevation myocardial infarction (STEMI) represents a particularly severe form. STEMI is characterised by a complete occlusion of a coronary artery, and it benefits from rapid revascularisation through primary percutaneous coronary intervention (PCI) within 120 min from ECG-based diagnosis.1 Meeting these time requirements not only necessitates a rapid diagnosis but also quick identification of the culprit vessel so that appropriate treatment can be delivered promptly.",
  "authors": [
    {
      "affiliations": [
        "Translational AI Laboratory, Department of Laboratory Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands",
        "Department of Cardiology, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands"
      ],
      "name": "Andrea Rafanelli"
    },
    {
      "affiliations": [
        "Translational AI Laboratory, Department of Laboratory Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands"
      ],
      "name": "Martijn C Schut"
    },
    {
      "affiliations": [
        "Department of Cardiology, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands",
        "University College London Institute of Health Informatics, London, UK"
      ],
      "name": "Folkert W Asselbergs"
    }
  ],
  "title": "From detection to deployment: AI for culprit vessel identification and the path to practice",
  "uid": "bfbc525e-f002-5c50-98ef-4a82914a522d"
}