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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
Balduzzi, A., Janssen, B. V., de Pastena, M., Pollini, T., Marchegiani, G. & Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium, 1 Dec 2023, In: The British journal of surgery. 110, 12, p. 1623-1627 5 p.Research output: Contribution to journal › Article › Academic › peer-review
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Improving the Reliability of Medical Diagnostic Models through Rule-Based Decision Deferral
Bereska, J. I., Marquering, H., Besselink, M., Stoker, J. & Verpalen, I., 3 Oct 2023, Proceedings of the Inaugural 2023 Summer Symposium Series 2023. Soh, H., Geib, C. & Petrick, R. (eds.). AAAI Press, p. 122-126 5 p. (Proceedings of the Inaugural 2023 Summer Symposium Series 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Radiomics preoperative-Fistula Risk Score (RAD-FRS) for pancreatoduodenectomy: development and external validation
Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium, 1 Oct 2023, In: BJS Open. 7, 5, zrad100.Research output: Contribution to journal › Article › Academic › peer-review
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