Artiklar med krav på offentlig åtkomst - Pu WangLäs mer
Inte tillgänglig någonstans: 1
Creating a standardized tool for the evaluation and comparison of artificial intelligence–based computer-aided detection programs in colonoscopy: a modified Delphi approach
SRV Gadi, Y Mori, M Misawa, JE East, C Hassan, A Repici, MF Byrne, ...
Gastrointestinal Endoscopy, 2024
Krav: National Institute for Health Research, UK
Tillgängliga någonstans: 5
Deep learning computer-aided polyp detection reduces adenoma miss rate: a United States multi-center randomized tandem colonoscopy study (CADeT-CS Trial)
JRG Brown, NM Mansour, P Wang, MA Chuchuca, SB Minchenberg, ...
Clinical Gastroenterology and Hepatology 20 (7), 1499-1507. e4, 2022
Krav: National Natural Science Foundation of China
Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method
OF Ahmad, Y Mori, M Misawa, S Kudo, JT Anderson, J Bernal, TM Berzin, ...
Endoscopy 53 (09), 893-901, 2021
Krav: Research Foundation (Flanders), UK Engineering and Physical Sciences …
Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement
Y Mori, JE East, C Hassan, N Halvorsen, TM Berzin, M Byrne, ...
Digestive Endoscopy 35 (4), 422-429, 2023
Krav: National Institute for Health Research, UK, European Commission
Impact of artificial intelligence on colonoscopy surveillance after polyp removal: a pooled analysis of randomized trials
Y Mori, P Wang, M Løberg, M Misawa, A Repici, M Spadaccini, L Correale, ...
Clinical Gastroenterology and Hepatology 21 (4), 949-959. e2, 2023
Krav: European Commission
The absolute number of small and diminutive adenomas with high-grade dysplasia is substantially higher compared with large adenomas: a retrospective pooled study
J Zhang, H Sun, F Xiong, S Lei, G Zhou, X Xiao, L Liu, P Wang
Frontiers in Oncology 14, 1294745, 2024
Krav: National Natural Science Foundation of China
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