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| http://dx.doi.org/10.5114/pg.2021.104732 | DOI Listing |
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The Application Value of an Artificial Intelligence-Driven Intestinal Image Recognition Model to Evaluate Intestinal Preparation before Colonoscopy.
Br J Hosp Med (Lond)
January 2025
Department of Gastroenterology, Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.
Artificial intelligence (AI), with advantages such as automatic feature extraction and high data processing capacity and being unaffected by fatigue, can accurately analyze images obtained from colonoscopy, assess the quality of bowel preparation, and reduce the subjectivity of the operating physician, which may help to achieve standardization and normalization of colonoscopy. In this study, we aimed to explore the value of using an AI-driven intestinal image recognition model to evaluate intestinal preparation before colonoscopy. In this retrospective analysis, we analyzed the clinical data of 98 patients who underwent colonoscopy in Nantong First People's Hospital from May 2023 to October 2023.
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View Article and Find Full Text PDFIron Deficiency Anemia Following Bariatric Surgery: A 10-Year Prospective Observational Study.
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Department of Internal Medicine and Geriatric Cardiology, Centre of Postgraduate Medical Education, Orlowski Hospital, 00-416 Warsaw, Poland.
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(1) Background: It has been reported that people affected by COVID-19, an infectious disease caused by SARS-CoV-2, suffer from various diseases, after infection. One of the most serious problems is the increased risk of developing diabetes after COVID-19 infection. However, a treatment for post-COVID-19 infection diabetes has not yet been established.
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Gastrointestinal diseases include a wide spectrum of functional and structural disorders of the alimentary system, involving hepatic, bile duct, and pancreatic diseases [...
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