Masterclass: Advanced GI Endoscopic Imaging (Live/Virtual)

Final Agenda

Pdf Summary

The ASGE Virtual Masterclass on December 13, 2025, from 9:00 AM to 5:00 PM Central Time, offers an expert-led program focused on the latest advancements in gastrointestinal (GI) endoscopic imaging. Covering modalities such as white-light endoscopy, chromoendoscopy, narrow-band imaging, confocal laser endomicroscopy, and AI applications, the course aims to enhance early detection, diagnosis, and management of GI neoplasia and other disorders.<br /><br />The masterclass is directed by Drs. Vani Konda and Ahmed Saeed, featuring faculty from leading institutions worldwide. The agenda is divided into five sessions. The first session addresses high-quality esophageal examinations, detection of squamous cell neoplasia, advanced imaging in Barrett’s esophagus, and computer-aided diagnostics. The second session focuses on gastric and small bowel neoplasia detection, including AI in endoscopy and capsule imaging.<br /><br />In the afternoon, the third session covers colorectal neoplasia detection techniques, emphasizing chromoendoscopy, virtual chromoendoscopy, and AI, along with lesion resection strategies and inflammatory bowel disease imaging. The fourth session presents a range of imaging topics, such as esophageal motility assessment, novel bleeding detection, and real-time molecular imaging.<br /><br />The final session discusses integrating imaging tools into clinical workflows, training and learning curves, technological challenges, and the future roadmap for GI imaging technologies. The program emphasizes practical insights for clinicians to incorporate advanced imaging methods effectively into daily practice, improving diagnostic accuracy and patient care in GI diseases.

Keywords

ASGE Virtual Masterclass

gastrointestinal endoscopic imaging

white-light endoscopy

chromoendoscopy

narrow-band imaging

confocal laser endomicroscopy

artificial intelligence in endoscopy

GI neoplasia detection

colorectal neoplasia

clinical workflow integration