Masterclass: Advanced GI Endoscopic Imaging (Live/Virtual) | December 2025-Learning Curve and Training

Video Transcription

Video Summary

Dr. Saeed discussed the learning curve and training in advanced endoscopic imaging, emphasizing the transformation from simple detection to immediate in vivo diagnosis guiding real-time treatment decisions. The ASGE's PIVI criteria set competency thresholds at 90% for optical diagnosis accuracy and negative predictive value. Early studies like DISCARD-2 showed limited clinical adoption mainly due to inadequate structured training. The ASGE's 2021 position outlined a training pathway: starting with high-quality endoscopy skills, ensuring proper equipment and imaging quality, then progressing through validated training courses based on recognized classification systems, followed by self-learning with histology feedback. Short, focused courses significantly improve accuracy and confidence, especially when combined with immediate histology feedback. Emerging AI-assisted diagnosis (CADx) shows promise in accelerating learning curves and enhancing non-expert performance, potentially enabling rapid competency and consistent auditing. Future training will likely integrate web-based modules and AI tools for real-time support and competency tracking, addressing the current lack of standardized GI fellowship curricula for advanced imaging techniques.

Asset Subtitle

Ahmed Saeed

Meta Tag

Concept Learning Curve

Concept Structured Training

Concept Optical Diagnosis

Concept PIVI Criteria

Concept Agreement with Histology

Concept Negative Predictive Value

Keywords

advanced endoscopic imaging

ASGE PIVI criteria

optical diagnosis accuracy

structured training

AI-assisted diagnosis

training pathway

Learning Curve

Structured Training

Optical Diagnosis

PIVI Criteria

Agreement with Histology

Negative Predictive Value