Key Points:
- The increasing use of artificial intelligence (AI) and machine learning (ML) in gastrointestinal (GI) endoscopy generates vast amounts of data. For example, a single 15-minute endoscopic procedure can produce approximately 27,000 high-definition images.
- This data stream holds potential for innovative research but also raises ethical and legal concerns regarding data privacy and ownership.
- Companies are developing platforms to leverage the value of video endoscopy data. Examples include Medtronic’s GI Genius, Virgo’s endoscopy video storage and AI analysis platform, and Iterative Scopes’ agreements with GI practices and pharmaceutical companies. These platforms are used for various applications, including AI algorithms for lesion detection, supporting drug trials, and automating assessments of disease activity and treatment response.
- While big data and AI offer critical advances in clinical care, concerns about patient privacy and data ownership must be addressed. Gastroenterologists and healthcare institutions face decisions on how to integrate digital tools in the endoscopy suite responsibly.