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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052314/
https://www.ncbi.nlm.nih.gov/pubmed/33863970
http://dx.doi.org/10.1038/s41598-021-87737-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052314/
https://www.ncbi.nlm.nih.gov/pubmed/33863970
http://dx.doi.org/10.1038/s41598-021-87737-3

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