Comparison of performances of artificial intelligence versus expert endoscopists for real-time assisted diagnosis of esophageal squamous cell carcinoma (with video)

H Fukuda, R Ishihara, Y Kato, T Matsunaga… - Gastrointestinal …, 2020 - Elsevier
Background and Aims Narrow-band imaging (NBI) is currently regarded as the standard
modality for diagnosing esophageal squamous cell carcinoma (SCC). We developed a …

Real‐time artificial intelligence for endoscopic diagnosis of early esophageal squamous cell cancer (with video)

XX Yang, Z Li, XJ Shao, R Ji, JY Qu… - Digestive …, 2021 - Wiley Online Library
Background and aims Endoscopic diagnosis of early esophageal squamous cell cancer
(ESCC) is complicated and dependent on operators' experience. This study aimed to …

Usefulness of an artificial intelligence system for the detection of esophageal squamous cell carcinoma evaluated with videos simulating overlooking situation

K Waki, R Ishihara, Y Kato, A Shoji, T Inoue… - Digestive …, 2021 - Wiley Online Library
Objectives Artificial intelligence (AI) systems have shown favorable performance in the
detection of esophageal squamous cell carcinoma (ESCC). However, previous studies were …

Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos)

LJ Guo, X Xiao, CC Wu, X Zeng, Y Zhang, J Du… - Gastrointestinal …, 2020 - Elsevier
Background and Aims We developed a system for computer-assisted diagnosis (CAD) for
real-time automated diagnosis of precancerous lesions and early esophageal squamous …

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

S Shiroma, T Yoshio, Y Kato, Y Horie, K Namikawa… - Scientific Reports, 2021 - nature.com
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 …

[HTML][HTML] Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging

B Li, SL Cai, WM Tan, JC Li, A Yalikong… - World Journal of …, 2021 - ncbi.nlm.nih.gov
BACKGROUND Non-magnifying endoscopy with narrow-band imaging (NM-NBI) has been
frequently used in routine screening of esophagus squamous cell carcinoma (ESCC). The …

Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video)

SL Cai, B Li, WM Tan, XJ Niu, HH Yu, LQ Yao… - Gastrointestinal …, 2019 - Elsevier
Background and Aims Few artificial intelligence-based technologies have been developed
to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC) …

Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: a systematic review and meta‐analysis

SM Zhang, YJ Wang, ST Zhang - Journal of Digestive Diseases, 2021 - Wiley Online Library
Objective To investigate systematically previous studies on the accuracy of artificial
intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on …

Effect of an artificial intelligence-assisted system on endoscopic diagnosis of superficial oesophageal squamous cell carcinoma and precancerous lesions: a …

XL Yuan, W Liu, YX Lin, QY Deng, YP Gao… - The Lancet …, 2024 - thelancet.com
Background Despite the usefulness of white light endoscopy (WLE) and non-magnified
narrow-band imaging (NBI) for screening for superficial oesophageal squamous cell …

[HTML][HTML] The role of artificial intelligence in the endoscopic diagnosis of esophageal cancer: a systematic review and meta-analysis

N Guidozzi, N Menon, S Chidambaram… - Diseases of the …, 2023 - academic.oup.com
Early detection of esophageal cancer is limited by accurate endoscopic diagnosis of subtle
macroscopic lesions. Endoscopic interpretation is subject to expertise, diagnostic skill, and …