Text Message System for the Prediction of Colonoscopy Bowel Preparation Adequacy Before Colonoscopy: An Artificial Intelligence Image Classification Algorithm Based on Images of Stool Output
Patients are willing to submit photos of their stool output during bowel preparation through text messages before colonoscopy. This machine learning algorithm demonstrates the ability to predict inadequate/fair preparation from good preparation based on image classification of stool output. It was less accurate to predict long duration of colonoscopy.
Authors
- Divya Saini
- Shivan J. Mehta (ORCID: https://orcid.org/0000-0001-6066-4739)
- Meghna Gummadi
- Eric R. Eaton (ORCID: https://orcid.org/0000-0002-5689-2234)
- Rajat Chandra
- Russell Taki Shinohara (ORCID: https://orcid.org/0000-0001-8627-8203)
- James D. Lewis (ORCID: https://orcid.org/0000-0003-3107-3862)
- Chethan Ramprasad (ORCID: https://orcid.org/0000-0003-1812-248X)
- Lev Krasnovsky (ORCID: https://orcid.org/0000-0003-0952-1673)
- Henry del Carmen
- Ryan Mcgregor
Institutions
- University of Pennsylvania (US)
Publication Details
- Journal
- Gastro Hep Advances
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1016/j.gastha.2024.09.011
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Foundation for the National Institutes of Health
- University of Pennsylvania
- National Institutes of Health