Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study
Simon Iseke, Tal Zeevi, Ahmet S. Kücükkaya, Rajiv Raju, Moritz Gross, Stefan P. Haider, Alexandra Petukhova-Greenstein, Tom N. Kuhn, MingDe Lin, Michal Nowak, Kirsten Cooper, Elizabeth Thomas, Marc‐André Weber, David C. Madoff, Lawrence H. Staib, Ramesh Batra, Julius Chapiro
Abstract
ML-based models applied to currently underutilized imaging features may help design more reliable criteria for organ allocation and liver transplant eligibility.
Topics & Concepts
Hepatocellular carcinomaMedicineStage (stratigraphy)Proof of conceptArtificial intelligenceInternal medicineComputer scienceBiologyOperating systemPaleontologyHepatocellular Carcinoma Treatment and PrognosisLiver Disease Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging