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

Alberto Balduzzi; Boris V. Janssen; Matteo de Pastena; Tommaso Pollini; Giovanni Marchegiani; Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium

doi:https://doi.org/10.1093/bjs/znad201

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

Alberto Balduzzi, Boris V. Janssen, Matteo de Pastena, Tommaso Pollini, Giovanni Marchegiani, Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

Original language	English
Pages (from-to)	1623-1627
Number of pages	5
Journal	The British journal of surgery
Volume	110
Issue number	12
DOIs	https://doi.org/10.1093/bjs/znad201
Publication status	Published - 1 Dec 2023

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Balduzzi, A., Janssen, B. V., de Pastena, M., Pollini, T., Marchegiani, G., & Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium (2023). 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. The British journal of surgery, 110(12), 1623-1627. https://doi.org/10.1093/bjs/znad201

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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",

author = "Alberto Balduzzi and Janssen, {Boris V.} and {de Pastena}, Matteo and Tommaso Pollini and Giovanni Marchegiani and {Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium} and Henk Marquering and Jaap Stoker and Inez Verpalen and Claudio Bassi and Besselink, {Marc G.} and Roberto Salvia",

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doi = "https://doi.org/10.1093/bjs/znad201",

language = "English",

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Balduzzi, A, Janssen, BV, de Pastena, M, Pollini, T, Marchegiani, G & Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium 2023, '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', The British journal of surgery, vol. 110, no. 12, pp. 1623-1627. https://doi.org/10.1093/bjs/znad201

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. / Balduzzi, Alberto; Janssen, Boris V.; de Pastena, Matteo et al.
In: The British journal of surgery, Vol. 110, No. 12, 01.12.2023, p. 1623-1627.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Artificial intelligence-based models to assess the risk of malignancy on radiological imaging in patients with intraductal papillary mucinous neoplasm of the pancreas

T2 - scoping review

AU - Balduzzi, Alberto

AU - Janssen, Boris V.

AU - de Pastena, Matteo

AU - Pollini, Tommaso

AU - Marchegiani, Giovanni

AU - Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium

AU - Marquering, Henk

AU - Stoker, Jaap

AU - Verpalen, Inez

AU - Bassi, Claudio

AU - Besselink, Marc G.

AU - Salvia, Roberto

PY - 2023/12/1

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U2 - https://doi.org/10.1093/bjs/znad201

DO - https://doi.org/10.1093/bjs/znad201

M3 - Article

C2 - 37402951

SN - 0007-1323

VL - 110

SP - 1623

EP - 1627

JO - The British journal of surgery

JF - The British journal of surgery

IS - 12

ER -

Balduzzi A, Janssen BV, de Pastena M, Pollini T, Marchegiani G, Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium. 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. The British journal of surgery. 2023 Dec 1;110(12):1623-1627. doi: https://doi.org/10.1093/bjs/znad201

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

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