Artificial Intelligence in Colonoscopic Polyp Detection and Characterization: Merging Computer Technology and Endoscopic Skill for Better Patient Care
In: Journal of Digestive Endoscopy, Jg. 14 (2023), Heft 04, S. 239-242
Online
academicJournal
Zugriff:
Artificial intelligence (AI) is a computer technology for mathematical modeling that uses nonlinear statistical analysis. While multilayer perceptron network is used for prediction of clinical outcome, convolutional neural network is used for detection of lesion in an image and its classification. In this issue of the journal, an article reviewed the impact of AI in colorectal polyp detection and characterization. This is an upcoming area of gastroenterology, which has already reached the doorstep of practicing clinicians and in the near future, it may bring a paradigm shift in clinical practice. It is expected that this thought-provoking review will stimulate endoscopists to take up research in this important field of application of an AI-based computer technology for endoscopic detection of gastrointestinal lesions.
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Artificial Intelligence in Colonoscopic Polyp Detection and Characterization: Merging Computer Technology and Endoscopic Skill for Better Patient Care
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Autor/in / Beteiligte Person: | Ghoshal, Uday C. ; Chakrabarti, Saikat ; Goenka, Mahesh K. |
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Zeitschrift: | Journal of Digestive Endoscopy, Jg. 14 (2023), Heft 04, S. 239-242 |
Veröffentlichung: | Thieme Medical and Scientific Publishers Pvt. Ltd., 2023 |
Medientyp: | academicJournal |
ISSN: | 0976-5042 (print) ; 0976-5050 (print) |
DOI: | 10.1055/s-0043-1778059 |
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