Tens of millions of gastrointestinal (GI) endoscopy videos and images are generated annually in the United States (1). A single 15-minute endoscopic procedure, recorded at 30 frames per second, generates approximately 27,000 high-definition images, representing a treasure trove of potential data. In the era of artificial intelligence (AI) and machine learning (ML), this data stream will not only fuel innovative and clinically impactful research in gastroenterology for both academic and commercial purposes, but also introduce ethical and legal concerns that merit consideration. Gastroenterologists are now faced with navigating new questions around data privacy and data ownership that have previously not been central to the endoscopy suite.
The American Journal of Gastroenterology
Eugenia N. Uche-Anya, Sara Gerke, and Tyler M. Berzin, Video Endoscopy as Big Data: Balancing Privacy and Progress in Gastroenterology The American Journal of Gastroenterology (2024).