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Gastroenterology and Artificial Intelligence: 4th ...
Introducing AI in GI Fellowship Education
Introducing AI in GI Fellowship Education
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This document is a presentation on the integration of artificial intelligence (AI) in gastroenterology fellowship education. The speaker, Dr. Rajesh Keswani, discusses the current variability in endoscopy quality and the need for improving trainee skills. He highlights the challenges in assessing trainee competency and the lack of effective feedback methods.<br /><br />Dr. Keswani suggests several ways to improve endoscopic skill, including education, delivering quality metrics feedback, providing skills feedback, and simulation-based learning. One potential solution is the use of AI to provide endoscopy feedback. He presents a study that shows the advantages of using AI to measure colonoscopy skill. AI can also aid trainee diagnostics and therapeutics.<br /><br />The speaker emphasizes the need for education and discusses potential sources, such as industry, societies, and training programs. He mentions that AI can help identify lesions and improve trainee recognition of subtle neoplasia. However, the question remains whether AI will result in reduced development of independent skills.<br /><br />Overall, this presentation highlights the potential benefits of integrating AI in gastroenterology fellowship education and emphasizes the importance of improving endoscopic skills. The use of AI can provide valuable feedback and assist in diagnosing and treating patients. Further research is needed to determine the impact of AI on trainee skills and independent decision-making.
Asset Subtitle
Rajesh Keswani, MD
Keywords
artificial intelligence
gastroenterology fellowship education
endoscopy quality
trainee skills
feedback methods
education
simulation-based learning
AI
lesion identification
neoplasia recognition
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