AI framework quantifies clinical influences on posthepatectomy length of stay

An innovative artificial intelligence framework was developed to quantify the impact of clinical factors on posthepatectomy length of stay (LOS), explaining 75% of its variability. The study analyzed 21,039 patients, revealing that clinical influences are significant while nonclinical factors account for the remaining 25%. Notably, major resections had a longer mean LOS of 6.9 days compared to 5.0 days for minor resections. Random forest models demonstrated the strongest performance among the tested methodologies.