{
  "abstract": "Diagnostic pathology is currently experiencing a period of profound technological transformation. Digital slide scanning, artificial intelligence (AI)–assisted image analysis, integrated laboratory information systems and automated workflow solutions are increasingly being introduced into routine practice. These developments hold considerable promise. They may improve efficiency, facilitate remote consultation, support quality assurance and help address the growing imbalance between rising diagnostic workload and the limited number of trained pathologists. 1–3 Industry has emerged as a key stakeholder in shaping how the future of pathology is imagined. Promotional narratives frequently describe a future characterised by real-time reporting, workflow automation, efficiency and integrated AI. While these visions reflect technological ambition, they also shape expectations regarding the organisation of diagnostics and are often presented as inevitable developments.",
  "authors": [
    {
      "affiliations": [
        "Institute of Pathology, University Hospital Bonn, Bonn, Germany",
        "Professor and Chair, Institute of Pathology, University Hospital Bonn (UKB), Bonn, Germany"
      ],
      "name": "Glen Kristiansen"
    }
  ],
  "title": "Digital diagnostic pathology between promise and professional erosion: artificial intelligence and the future of diagnostic sovereignty",
  "uid": "46f8bb01-bdd0-5a23-997c-e8e32048f91d"
}