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

March 2025 Endoscopy

Synopsis of Social media discussions

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.

A
Agreement
 Neither agree nor disagree

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

I
Interest
 Moderate level of interest

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

E
Engagement
 Neutral engagement

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

I
Impact
 Neutral impact

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

Social Mentions

YouTube

1 Videos

Twitter

4 Posts

Metrics

Video Views

72

Total Likes

14

Extended Reach

39,668

Social Features

5

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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

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 detection rates with AI support compared to standard methods.

endoscopythieme

February 26, 2025

72 views

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    #AuthorCommentary: Toshiyuki Yoshio & Eisuke Nakao on "RCT of an artificial intelligence diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice" Watch: https://t.co/4yRWLKlCcD Read: https://t.co/8TLpCgBSmA Eisuke Nakao et al.
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    March 2, 2025

    3

  • TeamSurgery
    @TeamSurgery247 (Twitter)

    RT @endoscopyjrnl: RCT of an AI diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice Find the ar…
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    March 2, 2025

    3

  • Dr Celestino Gutiérrez González MD
    @CelestinoGutirr (Twitter)

    RT @endoscopyjrnl: RCT of an AI diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice Find the ar…
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    March 1, 2025

    3

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    RCT of an AI diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice Find the article at: https://t.co/8TLpCgBkx2 Eisuke Nakao et al. https://t.co/VXpKQYyhot
    view full post

    March 1, 2025

    10

    3

Abstract Synopsis

  • 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.