Four independent groups have now demonstrated the feasibility of using computer vision and artificial intelligence (AI) on a smart phone camera to assess colon cleansing before colonoscopy. This technology can allow people to assess the adequacy of their colonoscopy preparation in the privacy of their own home just before traveling to their colonoscopy appointment. This technology can potentially allow people to adjust the amount of colonoscopy prep solution they must drink such that their colon is adequately cleansed. People will drink just the right amount of cleansing solution they need but no more, and no less. Scalability, or the ability to adjust preparation dose up or down will become more important.
References:
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2. Jung, Jae Won, et al. "The effectiveness of personalized bowel preparation using a smartphone camera application: a randomized pilot study." Gastroenterology research and practice (2017): 4898914.
3. Lu, Yang-Bor, et al. "A novel convolutional neural network model as an alternative approach to bowel preparation evaluation before colonoscopy in the COVID-19 era: a multicenter, single-blinded, randomized study." Journal of the American College of Gastroenterology| ACG 117:(2022): 1437-1443.
4. Zhu, Yan, et al. "Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence." NPJ Digital Medicine 6.1 (2023): 41.
5. Gimeno-García, Antonio Z., et al. "Design and validation of an artificial intelligence system to detect the quality of colon cleansing before colonoscopy." Gastroenterología y Hepatología 47.5 (2024): 481-490.