Artificial intelligence in endoscopy: Overview, applications, and future directions

Since the emergence of artificial intelligence (AI) in medicine, endoscopy applications in gastroenterology have been at the forefront of innovations. The ever-increasing number of studies necessitates the need to organize and classify applications in a useful way. Separating AI capabilities by comp...

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Bibliographic Details
Published in:Saudi journal of gastroenterology 2023-09, Vol.29 (5), p.269-277
Main Authors: Arif, Arif A, Jiang, Shirley X, Byrne, Michael F
Format: Article
Language:English
Subjects:
Artificial Intelligence
Barrett Esophagus - diagnostic imaging
barrett's
capsule endoscopy
Colonic Neoplasms - diagnostic imaging
Crohn Disease - diagnostic imaging
Endoscopy
Endoscopy, Gastrointestinal
Gastroenterology
Humans
ibd
polyp
Review
Technology application
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Summary:Since the emergence of artificial intelligence (AI) in medicine, endoscopy applications in gastroenterology have been at the forefront of innovations. The ever-increasing number of studies necessitates the need to organize and classify applications in a useful way. Separating AI capabilities by computer aided detection (CADe), diagnosis (CADx), and quality assessment (CADq) allows for a systematic evaluation of each application. CADe studies have shown promise in accurate detection of esophageal, gastric and colonic neoplasia as well as identifying sources of bleeding and Crohn's disease in the small bowel. While more advanced CADx applications employ optical biopsies to give further information to characterize neoplasia and grade inflammatory disease, diverse CADq applications ensure quality and increase the efficiency of procedures. Future applications show promise in advanced therapeutic modalities and integrated systems that provide multimodal capabilities. AI is set to revolutionize clinical decision making and performance of endoscopy.
ISSN:1319-3767
1998-4049
1998-4049
DOI:10.4103/sjg.sjg_286_23