Kansas City VA Medical Center

Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study

Miguel Areia, Yuichi Mori, Loredana Correale et al.

2022 · 214 Zit.

ChatGPT and large language models in gastroenterology

Prateek Sharma, Sravanthi Parasa

2023 · 28 Zit.

Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology

Cadman L. Leggett, Sravanthi Parasa, Alessandro Repici et al.

2024 · 17 Zit.

Overcoming barriers to implementation of artificial intelligence in gastroenterology

Richard Sutton, Prateek Sharma

2021 · 17 Zit.

Charting a path forward for clinical research in artificial intelligence and gastroenterology

Jeremy R. Glissen Brown, Akbar K. Waljee, Yuichi Mori et al.

2021 · 4 Zit.

Creating a standardized tool for the evaluation and comparison of artificial intelligence–based computer-aided detection programs in colonoscopy: a modified Delphi approach

Sanjay R.V. Gadi, Yuichi Mori, Masashi Misawa et al.

2024 · 4 Zit.

Patient Perspectives on Artificial Intelligence in Gastroenterology: A Multicenter Survey of Knowledge, Concerns, and Beliefs

Vinay Jahagirdar, Sachin Srinivasan, Kareem Khalaf et al.

2026 · 1 Zit.

COMPARING NUMBER AND RELEVANCE OF FALSE ACTIVATIONS BETWEEN TWO ARTIFICIAL INTELLIGENCE CADE SYSTEMS: THE NOISE STUDY

Marco Spadaccini, Ludovico Alfarone, Leonardo Da Rio et al.

2022 · 1 Zit.

Priorities for advancing artificial intelligence in inflammatory bowel disease: a technology update

Anna L. Silverman, Ryan W. Stidham, Sravanthi Parasa et al.

2026 · 0 Zit.