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Artificial intelligence-assisted analysis of endoscopic retrograde cholangiopancreatography image for identifying ampulla and difficulty of selective cannulation

The advancement of artificial intelligence (AI) has facilitated its application in medical fields. However, there has been little research for AI-assisted endoscopy, despite the clinical significance of the efficiency and safety of cannulation in the endoscopic retrograde cholangiopancreatography (E...

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Bibliografski detalji
Izdano u:Sci Rep
Glavni autori: Kim, Taesung, Kim, Jinhee, Choi, Hyuk Soon, Kim, Eun Sun, Keum, Bora, Jeen, Yoon Tae, Lee, Hong Sik, Chun, Hoon Jai, Han, Sung Yong, Kim, Dong Uk, Kwon, Soonwook, Choo, Jaegul, Lee, Jae Min
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8052314/
https://ncbi.nlm.nih.gov/pubmed/33863970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-87737-3
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