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ASGE Annual Postgraduate Course: Clinical Challeng ...
AI Solutions in Pancreas Esophageal Motility and C ...
AI Solutions in Pancreas Esophageal Motility and Capsule Endoscopy Rajesh N Keswani
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Video Transcription
Video Summary
In this video, Raj Keswani, an interventional endoscopist at Northwestern, discusses the use of artificial intelligence (AI) in the field of gastroenterology. He focuses on three areas: pancreas disease, esophageal motility, and small bowel. Keswani starts by emphasizing the importance of addressing quality issues in endoscopy and gastroenterology. He explains that defining clinical needs in these areas is crucial, and AI can help identify and address those needs. He then delves into specific applications of AI in pancreas disease, such as managing pancreas cysts and diagnosing pancreas adenocarcinoma. AI can assist in identifying high-risk cysts and predicting the likelihood of cancer progression. Moving on to esophageal motility disorders, Keswani discusses how AI can aid in early diagnosis by recognizing subtle endoscopic features and improving the interpretation of diagnostic tests like high-resolution manometry and endoflip. Finally, he touches on the use of AI in small bowel studies, particularly capsule endoscopy, where AI can help identify lesions and save time for endoscopists. Overall, Keswani concludes that AI has the potential to significantly improve the quality and effectiveness of care in these areas of gastroenterology.
Asset Subtitle
Rajesh Keswani, MD
Keywords
artificial intelligence
gastroenterology
pancreas disease
esophageal motility
small bowel
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