5th Global Gastroenterology and Artificial Intelligence Summit (Live)

3 - Shah

Pdf Summary

The document discusses the integration of artificial intelligence (AI) into endoscopy and whether it should be standardized in fellowship training. The author highlights the importance of standards in graduate medical education training and outlines the possible roles for AI in training.<br /><br />The document mentions the Dreyfus Model, which describes the progression of skills from novice to expert. It also discusses the implementation of standards in education, including the use of AI based on data and faculty training.<br /><br />The author addresses the widening gap in gastroenterology training, particularly in medically underserved areas, and the need for funding for technology and faculty training. They also mention a prospective study that evaluated the effectiveness of computer-aided polyp detection, which found no significant difference in adenoma detection rate or procedure times.<br /><br />The document emphasizes the importance of AI in quality and patient safety, and the need to assess the knowledge and skills needed to use AI. It also mentions the potential for AI to improve feedback in endoscopy training and close the gap in faculty knowledge and skills.<br /><br />Possible roles for AI in training are discussed, including faculty development and advanced learner feedback. The document raises questions about whether the field is ready for AI integration and suggests privileging implications and risk mitigation measures.<br /><br />In conclusion, the document presents the idea that AI should be considered as part of the ideal state for endoscopy training. However, it also acknowledges that the field may not be ready for widespread implementation of AI in fellowship training.

Keywords

artificial intelligence

endoscopy

standardization

fellowship training

graduate medical education

Dreyfus Model

gastroenterology training

technology funding

faculty training

computer-aided polyp detection