Virginia B. Hill

This study evaluates GPT-4's performance on a radiology exam, finding it performs between PGY-2 and PGY-3 levels but struggles with image-based questions and shows answer variability over time.

This paper develops a 3D-CNN model using transfer learning to predict conversion from MCI to DAT, achieving 82.4% accuracy and identifying key brain regions associated with disease progression.