Effects of artificial intelligence assistance on endoscopist performance: Comparison of diagnostic performance in superficial esophageal squamous cell carcinoma detection using video‐based models

Authors

Maasa Sasabe
Tomonori Yano (ORCID: https://orcid.org/0000-0002-8030-1449)
Yuki Nakanishi (ORCID: https://orcid.org/0000-0001-5493-6312)
Atsushi Inaba (ORCID: https://orcid.org/0000-0001-7036-9485)
Naoki Aoyama (ORCID: https://orcid.org/0000-0003-3978-2778)
Hiroshi Seno (ORCID: https://orcid.org/0000-0002-7631-0940)
Keiichiro Nakajo

Institutions

Kyoto University (JP)
Saitama Cancer Center (JP)
National Cancer Center Hospital East (JP)

Publication Details

Journal: DEN Open
Published: 2025-05-02
DOI: https://doi.org/10.1002/deo2.70083
Citations: 6
Primary Topic: Esophageal Cancer Research and Treatment
Type: article
Field-Weighted Citation Impact: 12.04

Funders

Olympus

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article

Effects of artificial intelligence assistance on endoscopist performance: Comparison of diagnostic performance in superficial esophageal squamous cell carcinoma detection using video‐based models

Maasa Sasabe, Tomonori Yano, Yuki Nakanishi, Atsushi Inaba et al.

May 2, 2025

6 citations

DEN Open

Esophageal Cancer Research and Treatment

12.04

article

Effects of artificial intelligence assistance on endoscopist performance: Comparison of diagnostic performance in superficial esophageal squamous cell carcinoma detection using video‐based models

Maasa Sasabe, Tomonori Yano, Yuki Nakanishi, Atsushi Inaba, Naoki Aoyama, Hiroshi Seno, Keiichiro Nakajo

May 2, 2025article en

6 citations

Abstract

No abstract available for this paper.

DEN OpenVol. 6(1)

Kyoto University (JP), Saitama Cancer Center (JP), National Cancer Center Hospital East (JP)

Olympus

Openalex Percentile: Top 1%

Esophageal Cancer Research and Treatment

12.04

DOI Open Access PDF OpenAlex

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