Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting.

Thomas J Lux, Zita Saßmannshausen, Ioannis Kafetzis, Philipp Sodmann, Katja Herold, Boban Sudarevic, Rüdiger Schmitz, Wolfram G Zoller, Alexander Meining, Alexander Hann

December 2023 Endoscopy

Synopsis of Social media discussions

The engagement is driven by examples such as mentions of AI helping with report writing, capturing images, and standardizing withdrawal times, with enthusiasm reflected in words like 'wish' and 'help.' The tone is optimistic, emphasizing potential improvements, which aligns with the positive agreement and interest scores.

A
Agreement
 Moderate agreement

Most discussions express positive support for the article, highlighting its potential to improve endoscopic reporting and workflow efficiency.

I
Interest
 High level of interest

The discussions demonstrate a high level of curiosity about AI applications in medicine, with emphasis on specific features like image capture and withdrawal time.

E
Engagement
 Moderate level of engagement

Participants engage by sharing additional insights, questions, and enthusiasm, especially about how AI could assist with report writing and standardization.

I
Impact
 Moderate level of impact

The discussions suggest the article could influence future practices and workflows in endoscopy, although full clinical adoption remains to be explored.

Social Mentions

YouTube

1 Videos

Facebook

2 Posts

Twitter

23 Posts

Metrics

Video Views

84

Total Likes

76

Extended Reach

105,413

Social Features

26

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

AI-Assisted Endoscopy Documentation for Improved Accuracy and Standardization

AI-Assisted Endoscopy Documentation for Improved Accuracy and Standardization

Thomas Lux discusses AI-driven assistance in endoscopy documentation, focusing on more reliable withdrawal times and comprehensive image capturing. The system shows high accuracy, real-time analysis, and potential to streamline workflows and standardize reporting.

endoscopythieme

November 28, 2023

84 views

  • Gautam
    @sharma14828 (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    January 16, 2024

    8

  • Thieme International
    @ThiemeIntl (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    December 11, 2023

    8

  • Adriana B
    @Adribottero (Twitter)

    RT @endoscopyjrnl: #AuthorCommentary: Thomas Lux on "Assisted documentation as a new focus for artificial intelligence in endoscopy: the pr…
    view full post

    December 8, 2023

    1

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    #AuthorCommentary: Thomas Lux on "Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting" Watch here: https://t.co/JHXgxLGHHF Lux et al. Endoscopy 2023; 55: 1118–1123 DOI 10.1055/a-2122-1671
    view full post

    December 8, 2023

    5

    1

  • Edgar Steven
    @StvesEdgar (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    December 7, 2023

    8

  • Dr Ahmir Ahmad
    @drahmirahmad (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    December 7, 2023

    8

  • EndoscopyNow
    @EndoscopyNow (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    December 7, 2023

    8

  • Alexander Hann
    @alexsworking (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    December 7, 2023

    8

  • Mohamed Shiha
    @Mo_Shiha (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    December 7, 2023

    8

  • Adriana B
    @Adribottero (Twitter)

    RT @endoscopyjrnl: Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: ht…
    view full post

    December 7, 2023

    8

  • Endoscopy Journal
    @endoscopyjrnl (Twitter)

    Editor's Choice: AI tool for standardized reporting and reduced reporting workload in endoscopy Find the article at: https://t.co/FwrbsEb5o5 Thomas J. Lux et al. Endoscopy 2023; 55: 1118–1123 DOI 10.1055/a-2122-1671 https://t.co/Tjt4AnWf56
    view full post

    December 7, 2023

    14

    8

  • Ioannis Kafetzis
    @Io_Kaf (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 5, 2023

    11

  • Thomas Lux
    @tj_Lux (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 4, 2023

    11

  • Jorge Luis Rodríguez .
    @JL____Rodriguez (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Badr Al-Bawardy
    @Badr_AlBawardy (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Samir C. Grover, M.D.
    @Samir_Grover (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • imkhan
    @iamkhan384 (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Tyler Berzin MD, FASGE
    @tberzin (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Erik Holzwanger, MD, ABOM-D
    @HilarHolzy (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Tom Konikoff, MD
    @TomKonikoff (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Alexander Meining
    @AlexMeining (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Mohamed Shiha
    @Mo_Shiha (Twitter)

    RT @alexsworking: Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, i…
    view full post

    July 3, 2023

    11

  • Alexander Hann
    @alexsworking (Twitter)

    Ever wished your #colonoscopy polyp detection #AI could help you with the report writing too? (images, withdrawal time, instruments used…) Check out our newest work published in @endoscopyjrnl by @tj_Lux @PSodmann @Io_Kaf @schmitzruediger @AlexMeining https://t.co/v4dEImjsMm https://t.co/bNuRvTUQOs
    view full post

    July 3, 2023

    55

    11

Abstract Synopsis

  • The article discusses an AI-based tool designed to improve the accuracy and consistency of documentation during endoscopy, specifically focusing on measuring withdrawal time and capturing relevant images.
  • The AI system was trained on thousands of images across multiple centers and shows high accuracy in predicting withdrawal times, matching video-based measurements closely, and capturing more comprehensive photos than traditional methods.
  • The tool also has real-time capabilities, indicating it could streamline workflows and enhance standardization and quality in endoscopic procedures once further validation is completed.]