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

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

Abstract 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 i...

Full description

Saved in:
Bibliographic Details
Main Authors: Sho Shiroma, Toshiyuki Yoshio, Yusuke Kato, Yoshimasa Horie, Ken Namikawa, Yoshitaka Tokai, Shoichi Yoshimizu, Natsuko Yoshizawa, Yusuke Horiuchi, Akiyoshi Ishiyama, Toshiaki Hirasawa, Tomohiro Tsuchida, Naoki Akazawa, Junichi Akiyama, Tomohiro Tada, Junko Fujisaki
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/76434d4207d84508aeed12b069a34a1c
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items