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

Laura AlaimoZorays MoazzamYutaka EndoHenrique A LimaSwatika P ButeyAndrea RuzzenenteAlfredo GuglielmiLuca AldrighettiMatthew WeissTodd W BauerSorin AlexandrescuGeorge A PoultsidesShishir K MaithelHugo P MarquesGuillaume MartelCarlo PulitanoFeng ShenFrançois CauchyBas Groot KoerkampItaru EndoMinoru KitagoAlex KimAslam EjazJoal BeaneJordan CloydTimothy M Pawlik

Published in: Annals of surgical oncology (2023)

Artificial intelligence OST identified subgroups within ICC relative to long-term outcomes. Although tumor biology dictated prognosis, the OPT suggested that different margin widths based on patient and disease characteristics may optimize ICC long-term survival.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
case report