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Early-stage clinical evaluation of real-time artificial intelligence assistance for laparoscopic cholecystectomy.
Mascagni, Pietro; Alapatt, Deepak; Lapergola, Alfonso; Vardazaryan, Armine; Mazellier, Jean-Paul; Dallemagne, Bernard; Mutter, Didier; Padoy, Nicolas.
Afiliación
  • Mascagni P; ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France.
  • Alapatt D; Department of Medical and Abdominal Surgery and Endocrine-Metabolic Science, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Lapergola A; ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France.
  • Vardazaryan A; Department of Digestive and Endocrine Surgery, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
  • Mazellier JP; Institute of Image-Guided Surgery, IHU-Strasbourg, Strasbourg, France.
  • Dallemagne B; Institute of Image-Guided Surgery, IHU-Strasbourg, Strasbourg, France.
  • Mutter D; Institute for Research against Digestive Cancer (IRCAD), Strasbourg, France.
  • Padoy N; Department of Digestive and Endocrine Surgery, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Br J Surg ; 111(1)2024 Jan 03.
Article en En | MEDLINE | ID: mdl-37935636
The growing availability of surgical digital data and developments in analytics such as artificial intelligence (AI) are being harnessed to improve surgical care. However, technical and cultural barriers to real-time intraoperative AI assistance exist. This early-stage clinical evaluation shows the technical feasibility of concurrently deploying several AIs in operating rooms for real-time assistance during procedures. In addition, potentially relevant clinical applications of these AI models are explored with a multidisciplinary cohort of key stakeholders.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Colecistectomía Laparoscópica Límite: Humans Idioma: En Revista: Br J Surg Año: 2024 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Colecistectomía Laparoscópica Límite: Humans Idioma: En Revista: Br J Surg Año: 2024 Tipo del documento: Article País de afiliación: Francia