Artificial intelligence in pancreatic surgery: current applications

Autor: Christoph Kuemmerli, Fabian Rössler, Caroline Berchtold, Michael C. Frey, Alexander Studier-Fischer, Amila Cizmic, Jan Philipp Jonas, Thilo Hackert, Felix Nickel, Philip C. Müller
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Pancreatology, Vol 6, Iss 2, Pp 74-81 (2023)
Druh dokumentu: article
ISSN: 2096-5664
00000000
DOI: 10.1097/JP9.0000000000000129
Popis: Surgery plays a central role in the treatment of benign and malignant pancreatic diseases. Artificial intelligence (AI) is an important upcoming technology to support surgeons in pre-, intra-, and postoperative diagnosis, decision-making and training toward an optimized patient care. Current AI applications show a promising role in the evaluation of preoperative images for prediction of malignancy and resectability, intraoperative decision support, surgical training as well as a postoperative risk stratification to personalize the management of complications. This scoping review summarizes the most up to date developments of AI in pancreatic surgery with the highest available level of evidence.
Databáze: Directory of Open Access Journals