Large Language Model–Assisted Estimation of Left Double-Lumen Tube Insertion Depth Using Preoperative Chest Radiography
This retrospective study demonstrates that a large language model can accurately predict the optimal insertion depth of left-sided double-lumen tubes, with performance significantly improved and statistically comparable to physician measurements when preoperative chest radiographs are incorporated alongside demographic data.