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Gastroenterology and Artificial Intelligence: 4th ...
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 presentation, Raj Keswani, an interventional endoscopist at Northwestern, discusses the potential use of artificial intelligence (AI) solutions in the fields of pancreas, esophageal motility, and small bowel diseases. He highlights the need for improved quality and effectiveness of care in these areas. Keswani explains that AI can help in defining clinical needs and developing solutions that can change and enhance patient care. For instance, in pancreas disease, AI algorithms can analyze radiology scans to identify cysts and assess their risk of progressing to cancer. Similarly, in esophageal motility disorders, AI can aid in the early diagnosis of such conditions by analyzing endoscopy images and interpreting advanced motility testing. Lastly, in small bowel diseases, AI algorithms can assist in identifying lesions and abnormalities in capsule endoscopy, saving time for physicians. Keswani concludes that AI shows promise in improving the management and treatment outcomes of these diseases.
Asset Subtitle
Rajesh Keswani, MD
Keywords
artificial intelligence
pancreas disease
esophageal motility disorders
small bowel diseases
patient care
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