Endoscopy March 2025 PMID 39317205

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

Eisuke Nakao, Toshiyuki Yoshio, Yusuke Kato, Ken Namikawa, Yoshitaka Tokai, Shoichi Yoshimizu, Yusuke Horiuchi, Akiyoshi Ishiyama, Toshiaki Hirasawa, Nozomi Kurihara, Naoki Ishizuka, Ryu Ishihara, Tomohiro Tada, Junko Fujisaki

Full text PDF Download social card

Mentions

Peak: 4 in Mar 2025

across 2 sources since Feb 2025

Extended reach

39,668

potential audience

Total likes

Video views

Mentions per month

Feb 2025 – Mar 2025

Where it's discussed

X / Twitter4 posts
YouTube1 videos

AI synopsis

What people are saying

The discussions reflect cautious recognition of the study's results, exemplified by remarks like 'Find the article at,' indicating a neutral stance, and mentions of the trial without elaboration. The tone remains subdued, with some posts simply referencing the publication or sharing links, which demonstrates limited engagement and interest levels.

AgreementNeither agree nor disagree

Posts generally acknowledge the study's findings but do not strongly agree or disagree with its conclusions.

InterestModerate interest

Discussion shows mild curiosity, with some comments indicating interest in the clinical application and the AI system's effectiveness.

EngagementNeutral engagement

Comments tend to be surface-level, such as sharing links or brief mentions, with limited in-depth analysis or debate.

ImpactNeutral impact

The overall reaction suggests a neutral perception of the study’s significance, with little indication of perceived transformative impact.

Abstract in brief

This study aimed to evaluate the effectiveness of artificial intelligence (AI) in helping endoscopists detect esophageal squamous cell carcinoma (ESCC) in a clinical trial, as previous studies were only retrospective.
In this randomized controlled trial, high-risk patients were assigned to either an AI-supported group or a control group, with endoscopists utilizing different monitors during screening procedures.
Results showed no significant difference in ESCC detection rates between the AI group and the control group, suggesting that the AI system did not improve detection for either non-experts or experts in a clinical setting.

Read the full abstract

All mentions

Evaluation of AI Diagnostic System for Detecting Esophageal Squamous Cell Carcinoma in Clinical Practice

This study assessed an AI diagnostic system's effectiveness in detecting esophageal squamous cell carcinoma in a randomized controlled trial with high-risk patients. Results showed no significant improvement in…

endoscopythieme · Feb 26, 2025 72 views

Endoscopy Journal

@endoscopyjrnl · X

Mar 2, 2025 · 3 likes · 11,554 followers View post →

TeamSurgery

@TeamSurgery247 · X

RT @endoscopyjrnl: RCT of an AI diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice Find the ar…

Mar 2, 2025 · 3 shares · 5,148 followers View post →

Dr Celestino Gutiérrez González MD

@CelestinoGutirr · X