Yusuke Kato

Tokyo, Japan

Last Updated: 09/26/2026

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Found 19 publications

Randomized controlled trial of an artificial intelligence diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice.

Randomized controlled trial of an artificial intelligence diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice.

Journal: Endoscopy

Published: September 24, 2024

Combination of artificial intelligence endoscopic diagnosis and Kimura-Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post-eradication status.

Combination of artificial intelligence endoscopic diagnosis and Kimura-Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post-eradication status.

Journal: DEN open

Published: August 27, 2024

Cost-effectiveness analysis of the artificial intelligence diagnosis support system for early gastric cancers.

Cost-effectiveness analysis of the artificial intelligence diagnosis support system for early gastric cancers.

Journal: DEN open

Published: June 08, 2023

Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy reading.

Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy reading.

Journal: Journal of gastroenterology and hepatology

Published: March 16, 2023

Disease surveillance evaluation of primary small-bowel follicular lymphoma using capsule endoscopy images based on a deep convolutional neural network (with video).

Disease surveillance evaluation of primary small-bowel follicular lymphoma using capsule endoscopy images based on a deep convolutional neural network (with video).

Journal: Gastrointestinal endoscopy

Published: January 31, 2023

A single-center prospective study evaluating the usefulness of artificial intelligence for the diagnosis of esophageal squamous cell carcinoma in a real-time setting.

A single-center prospective study evaluating the usefulness of artificial intelligence for the diagnosis of esophageal squamous cell carcinoma in a real-time setting.

Journal: BMC gastroenterology

Published: December 22, 2022

Performance of an artificial intelligence-based diagnostic support tool for early gastric cancers: Retrospective study.

Performance of an artificial intelligence-based diagnostic support tool for early gastric cancers: Retrospective study.

Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society

Published: April 13, 2022

Determination of gastric atrophy with artificial intelligence compared to the assessments of the modified Kyoto and OLGA classifications.

Determination of gastric atrophy with artificial intelligence compared to the assessments of the modified Kyoto and OLGA classifications.

Journal: JGH open : an open access journal of gastroenterology and hepatology

Published: November 10, 2021

Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy.

Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy.

Journal: Endoscopy

Published: October 04, 2021

Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use.

Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use.

Journal: Scientific reports

Published: May 19, 2021

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.

Journal: Scientific reports

Published: December 11, 2020

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

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

Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society

Published: December 03, 2020

Showing 1-12 of 19

Last Updated: 09/26/2026