Tomohiro Tada

Saitama, Japan

Last Updated: 09/26/2026

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Found 69 publications

AI-Assisted Detection May Help Identify Visible but Missed Gastric Cancers During Routine Upper Endoscopy.

AI-Assisted Detection May Help Identify Visible but Missed Gastric Cancers During Routine Upper Endoscopy.

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

Published: May 13, 2026

Generative chromoendoscopy for gastric neoplasms: a multicenter prospective study.

Generative chromoendoscopy for gastric neoplasms: a multicenter prospective study.

Journal: Endoscopy

Published: May 08, 2026

Assessment of early gastric cancer visibility in deep-learning-based virtual indigo carmine chromoendoscopy (with video).

Assessment of early gastric cancer visibility in deep-learning-based virtual indigo carmine chromoendoscopy (with video).

Journal: Endoscopy international open

Published: September 23, 2025

Image-enhanced endoscopy and AI in upper gastrointestinal screening

Image-enhanced endoscopy and AI in upper gastrointestinal screening

Journal: Nihon Shokakibyo Gakkai zasshi = The Japanese journal of gastro-enterology

Published: February 09, 2025

Impact of interaction between an artificial intelligence endoscopic support system and endoscopists on diagnosis of gastric neoplastic lesions.

Impact of interaction between an artificial intelligence endoscopic support system and endoscopists on diagnosis of gastric neoplastic lesions.

Journal: Endoscopy international open

Published: February 05, 2025

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

Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms.

Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms.

Journal: Digestion

Published: March 15, 2024

Development of an Artificial Intelligence Diagnostic System Using Linked Color Imaging for Barrett's Esophagus.

Development of an Artificial Intelligence Diagnostic System Using Linked Color Imaging for Barrett's Esophagus.

Journal: Journal of clinical medicine

Published: March 01, 2024

Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market.

Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver

Published: October 19, 2023

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

Showing 1-12 of 69

Last Updated: 09/26/2026