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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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Podrobná bibliografie
Vydáno v:Sci Rep
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2021
Témata:
On-line přístup: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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