Gastroenterology and Artificial Intelligence: 4th Annual Global Artificial Intelligence Summit (On-Demand | August 2022-AI Solutions in Pancreas Esophageal Motility and Capsule Endoscopy Rajesh N Keswani

Video Transcription

Video Summary

In this video presentation, Raj Keswani, an interventional endoscopist at Northwestern, discusses the role of artificial intelligence (AI) solutions in the areas of pancreas disease, esophageal motility, and capsule endoscopy. He emphasizes the importance of defining clinical needs and the potential for AI to change patient care by identifying high-risk conditions earlier and improving diagnostic accuracy. In the context of pancreas disease, Keswani highlights the inefficiencies and costliness of current practices in managing pancreas cysts and adenocarcinoma. He showcases the use of AI algorithms to segment the pancreas and identify high-risk cysts, allowing for better management and reducing unnecessary procedures. Additionally, he discusses the potential of AI in early diagnosis of pancreas cancer using data from electronic health records. In the field of esophageal motility, Keswani discusses the challenges of delayed diagnosis and interpretation of diagnostic tests. He presents research on the use of AI to detect subtle features of motility disorders during endoscopy, as well as its potential in automated interpretation of high-resolution manometry and endoflip testing. Lastly, he touches on the benefits of AI in improving the efficiency and accuracy of capsule endoscopy by highlighting relevant frames and saving time for endoscopists. Overall, Keswani suggests that AI has the potential to significantly impact the quality and effectiveness of care in these areas.

Asset Subtitle

Rajesh Keswani, MD

Keywords

artificial intelligence

pancreas disease

esophageal motility

capsule endoscopy

diagnostic accuracy