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

Br J Surg. 2023 Nov 9;110(12):1623-1627. doi: 10.1093/bjs/znad201.

Alberto Balduzzi¹, Boris V Janssen^{2

3

4}, Matteo De Pastena¹, Tommaso Pollini¹, Giovanni Marchegiani¹, Henk Marquering^{4

5

6}, Jaap Stoker^{4

6}, Inez Verpalen^{4

6}, Claudio Bassi¹, Marc G Besselink^{2

4}, Roberto Salvia¹; Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium

¹ Department of Surgery and Oncology, Unit of General and Pancreatic Surgery, University of Verona Hospital Trust, Verona, Italy.
² Department of Surgery, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands.
³ Department of Pathology, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands.
⁴ Cancer Centre Amsterdam, Amsterdam, the Netherlands.
⁵ Department of Biomedical Engineering and Physics, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands.
⁶ Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location University of Amsterdam, Amsterdam, the Netherlands.

No abstract available

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