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Artificial intelligence-based models to assess the risk of malignancy on radiological imaging in patients with intraductal papillary mucinous neoplasm of the pancreas: scoping review

Title: Artificial intelligence-based models to assess the risk of malignancy on radiological imaging in patients with intraductal papillary mucinous neoplasm of the pancreas: scoping review
Authors: Balduzzi, Alberto; Janssen, Boris V; De Pastena, Matteo; Pollini, Tommaso; Marchegiani, Giovanni; Marquering, Henk; Stoker, Jaap; Verpalen, Inez; Bassi, Claudio; Besselink, Marc G; Salvia, Roberto
Source: British Journal of Surgery ; volume 110, issue 12, page 1623-1627 ; ISSN 0007-1323 1365-2168
Publisher Information: Oxford University Press (OUP)
Publication Year: 2023
Document Type: article in journal/newspaper
Language: English
DOI: 10.1093/bjs/znad201
Availability: https://doi.org/10.1093/bjs/znad201; https://academic.oup.com/bjs/article-pdf/110/12/1623/53178878/znad201.pdf
Rights: https://creativecommons.org/licenses/by-nc/4.0/
Accession Number: edsbas.1FBFC2F7
Database: BASE