ASGE Annual Postgraduate Course: Clinical Challenges and Real-Time Decision Making in GI Endoscopy (On-demand) | May 2023-Introducing AI in GI Fellowship Education

Video Transcription

Video Summary

In this video, the speaker discusses the potential impact of artificial intelligence (AI) on fellowship education and training in the medical field. They emphasize that AI can help reduce the variation in competency and quality of care among practitioners. The speaker argues that AI can be utilized to measure competency and provide feedback to trainees, which can ultimately improve their skills. They propose a three-step approach to implementing AI in training, starting with formal didactics to educate trainees about AI, followed by using AI to provide competency feedback, and finally incorporating computer-aided detection and diagnosis systems to enhance trainees' ability to detect and diagnose conditions. The speaker also highlights the need for better feedback mechanisms in medical training, as well as the importance of educating clinicians about AI. Overall, the speaker suggests that AI has the potential to improve the quality of care and skill development in medical practice. The transcript is assumed to be a part of a lecture; however, no specific credits are given.

Asset Subtitle

Rajesh Keswani, MD

Keywords

artificial intelligence

fellowship education

medical field

competency feedback

computer-aided detection