A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients

Diamantis I. Tsilimigras, Rittal Mehta, Dimitrios Moris, Kota Sahara, Fabio Bagante, Anghela Z. Paredes, Amika Moro, 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, Olivier Soubrane, Bas Groot KoerkampItaru Endo, Timothy M. Pawlik

Research output: Contribution to journalArticlepeer-review

Fingerprint

Dive into the research topics of 'A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients'. Together they form a unique fingerprint.

Medicine & Life Sciences