Gastroenterology and Artificial Intelligence: 2nd Annual Artificial Intelligence Summit | October 2020-Computer Vision: A Primer for Gastroenterologists

Video Transcription

Video Summary

In this video, Dr. Tyler Berzin discusses the current state of computer vision in gastrointestinal (GI) endoscopy. He highlights the advancements made in computer vision through artificial intelligence (AI) and deep learning. Dr. Berzin explains that computer vision allows computers to see and interpret visual content such as photos and videos. He discusses the different concepts related to computer vision, including classification, localization, object detection, and segmentation. <br /><br />Dr. Berzin emphasizes the importance of identifying priority use cases for computer vision in GI endoscopy, such as polyp detection, detecting dysplasia and other abnormalities, and quality assessment. He also discusses the challenges in data science, particularly in curating, labeling, storing, and sharing the large amount of visual data generated during endoscopic procedures.<br /><br />Dr. Berzin highlights the significance of collaboration among key stakeholders, including physicians, industry partners, and trainees, to advance the field of computer vision in GI endoscopy. He concludes by expressing optimism about the future and the potential benefits of using computer vision in healthcare.

Asset Subtitle

Tyler Berzin, MD, FASGE

Keywords

computer vision

gastrointestinal endoscopy

artificial intelligence

deep learning

priority use cases