The Future of AI in Gastroenterology: Advancements, Challenges and Prospects

Abstract

Shivani Modi, Supriya Peshin, Parisha Masud, Inshya Desai and Malay Rathod

A new world is evolving with the current use of AI in various fields. AI is becoming well known and is an active area of research in many fields. An area of widespread use is the field of medicine, especially gastroenterology. AI in Gastroenterology can enhance diagnostic accuracy by assisting in identifying abnormalities in medical images. Gastroenterology is a field that can particularly benefit from the support of AI tools to analyses pictures from a wireless capsule endoscopy, detect colonic polyps using deep-learning approaches, and use capsule endoscopies to find bleeds in the small intestine that are missed in a regular endoscopy. These areas have been AI successes in the field of gastroenterology, but critical assessment is also necessary to identify upcoming obstacles using AI. The aim of this review paper is to assess the overall use of AI technology, examine current AI applications in gastroenterology, demonstrate the inherent value that AI brings to this field, and discuss the potential directions and scope for future research in this field with AI.

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