ASO Visual Abstract: The Application of Artificial Intelligence to Investigate Long-Term Outcomes and Assess Optimal Margin Width in Hepatectomy for Intrahepatic Cholangiocarcinoma

Laura Alaimo; Zorays Moazzam; Yutaka Endo; Henrique A. Lima; Swatika P. Butey; Andrea Ruzzenente; Alfredo Guglielmi; Luca Aldrighetti; Matthew Weiss; Todd W. Bauer; Sorin Alexandrescu; George A. Poultsides; Shishir K. Maithel; Hugo P. Marques; Guillaume Martel; Carlo Pulitano; Feng Shen; François Cauchy; Bas Groot Koerkamp; Itaru Endo; Minoru Kitago; Alex Kim; Aslam Ejaz; Joal Beane; Jordan Cloyd; Timothy M. Pawlik

Journal Article

ASO Visual Abstract: The Application of Artificial Intelligence to Investigate Long-Term Outcomes and Assess Optimal Margin Width in Hepatectomy for Intrahepatic Cholangiocarcinoma

Alaimo L
Moazzam Z
Endo Y
et al.

Annals of Surgical Oncology (2023) 30(7) 4304-4305

DOI: 10.1245/s10434-023-13411-9

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Alaimo, L., Moazzam, Z., Endo, Y., Lima, H. A., Butey, S. P., Ruzzenente, A., … Pawlik, T. M. (2023). ASO Visual Abstract: The Application of Artificial Intelligence to Investigate Long-Term Outcomes and Assess Optimal Margin Width in Hepatectomy for Intrahepatic Cholangiocarcinoma. Annals of Surgical Oncology, 30(7), 4304–4305. https://doi.org/10.1245/s10434-023-13411-9

ASO Visual Abstract: The Application of Artificial Intelligence to Investigate Long-Term Outcomes and Assess Optimal Margin Width in Hepatectomy for Intrahepatic Cholangiocarcinoma

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