Fine-tuning the artificial intelligence experience in endoscopy.
作者信息
Siau Keith, Berzin Tyler M
机构信息
Department of Gastroenterology, Royal Cornwall Hospitals NHS Trust, Truro, UK.
Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
出版信息
United European Gastroenterol J. 2022 Jun;10(5):449-450. doi: 10.1002/ueg2.12253. Epub 2022 May 20.
Abstract
摘要
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2
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3
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4
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5
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6
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