Summary
Developed a large-scale foundation model trained on gastrointestinal endoscopy video to support multiple clinical imaging tasks. Replaced narrow, task-specific models with a generalizable feature backbone for segmentation, classification, and disease scoring. Enabled scalable AI development for clinical research, trials, and precision medicine. Improved consistency and analytical depth in complex medical video data.