Document Type

Article

Publication Date

1-4-2024

Abstract

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.

Comments

"This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal."

Publication Title

The American Journal of Gastroenterology

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