Katie Carsky, David Rindskopf, Vihas M Patel, Parswa Ansari, Samuel P Dechario, Gary Giangola, Gene F Coppa, Anthony C Antonacci
Using Concurrent Complication Reporting to Evaluate Resident Critical Thinking and Enhance Adult Learning
Journal of surgical education
hepatocellular carcinoma hcc biologically heterogeneous tumor characterized varying degrees aggressiveness current treatment strategy hcc predominantly determined overall tumor burden address diverse prognoses patients hcc owing heterogeneity therefore prognostication hcc using imaging data crucial optimizing patient management although radiologic features demonstrated indicative biologic behavior hcc traditional radiologic methods hcc prognostication based visuallyassessed prognostic findings limited subjectivity interobserver variability consequently artificial intelligence emerged promising method imagebased prognostication hcc unlike traditional radiologic image analysis artificial intelligence based radiomics deep learning utilizes numerous imagederived quantitative features potentially offering objective detailed comprehensive analysis tumor phenotypes artificial intelligence particularly radiomics displayed potential variety applications including prediction microvascular invasion recurrence risk locoregional treatment response systemic therapy review highlights potential value artificial intelligence prognostication hcc well limitations future prospects