Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance

Diagnosis using artificial intelligence (AI) with deep learning could be useful in endoscopic examinations. We investigated the ability of AI to detect superficial esophageal squamous cell carcinoma (ESCC) from esophagogastroduodenoscopy (EGD) videos. We retrospectively collected 8428 EGD images of...

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Detalles Bibliográficos
Autores principales: Shiroma, Sho, Yoshio, Toshiyuki, Kato, Yusuke, Horie, Yoshimasa, Namikawa, Ken, Tokai, Yoshitaka, Yoshimizu, Shoichi, Yoshizawa, Natsuko, Horiuchi, Yusuke, Ishiyama, Akiyoshi, Hirasawa, Toshiaki, Tsuchida, Tomohiro, Akazawa, Naoki, Akiyama, Junichi, Tada, Tomohiro, Fujisaki, Junko
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/PMC8032773/
https://www.ncbi.nlm.nih.gov/pubmed/33833355
http://dx.doi.org/10.1038/s41598-021-87405-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032773/
https://www.ncbi.nlm.nih.gov/pubmed/33833355
http://dx.doi.org/10.1038/s41598-021-87405-6

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