Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a randomized controlled trial by Lianlian Wu, Xinqi He, Mei Liu et al. Find out more here: https://t.co/TEnLbnJnyh https://t.co/gxWRiWlAZO
Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a randomized controlled trial.
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Jan 2021 – May 2022Where it's discussed
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X / Twitter12 posts
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News3 articles
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Facebook2 posts
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YouTube1 videos
AI synopsis
What people are saying
Social discussions openly celebrate the article’s positive results, using words like 'efficacious' and 'significant improvement,' which indicate strong agreement. The tone conveys excitement about AI’s potential to revolutionize early cancer detection, and frequent references to 'real-time monitoring' and 'blind spot reduction' reflect deep engagement and recognition of the study’s importance.
Most discussions praise the study’s findings, highlighting AI's effectiveness in improving endoscopy and early gastric cancer detection.
Participants show high curiosity, sharing enthusiasm for AI technology and its potential benefits in medical diagnostics.
Many posts analyze the study’s methodology and implications, demonstrating deep involvement with the topic.
There’s a strong belief that this research could significantly influence future medical practices and endoscopic procedures.
Abstract in brief
- The study evaluated a new AI system called ENDOANGEL designed to improve the quality of endoscopy procedures, especially for detecting early gastric cancer, by monitoring blind spots during the exam.
- Results showed that ENDOANGEL significantly reduced blind spots, increased inspection time, and accurately predicted early gastric cancer, including three cases in the trial.
- Overall, ENDOANGEL proved to be a reliable tool that enhances endoscopy quality and has potential for real-time detection of gastric cancer.]
Top posts
Most liked on X and BlueskyUn sistema de #inteligenciaartificial #AI llamado "ENDOANGEL" ha sido eficaz para el seguimiento en tiempo real de los "puntos ciegos" endoscópicos y una mejor detección del #cáncer temprano, según una investigación publicada en Endoscopy @endoscopyjrnl https://t.co/0DJzMYISeo
#Podcast Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer by Lianlian Wu, Xinqi He, Mei Liu et al. Listen to the Podcast on YouTube: https://t.co/2xliz39DXa
RT @endoscopyjrnl: Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its perfo…
RT @MlOncology: Evaluating the Effects of An Artificial Intelligence System on Endoscopy Quality and Preliminarily Testing its Performance…
RT @PedroCanoD: Un sistema de #inteligenciaartificial #AI llamado "ENDOANGEL" ha sido eficaz para el seguimiento en tiempo real de los "pun…
All mentions
AI System Enhances Endoscopy Quality and Detects Early Gastric Cancer
This study evaluates the AI system ENDOANGEL for improving endoscopy quality by monitoring blind spots and detecting early gastric cancer, demonstrating significant improvements in procedure thoroughness and cancer…
Wu L, He X, Liu M, et al. 2021. Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a randomized controlled trial. Endoscopy. 53(12):1199–1207. doi:10.1055/a-1350-5583.
RT @PedroCanoD: Un sistema de #inteligenciaartificial #AI llamado "ENDOANGEL" ha sido eficaz para el seguimiento en tiempo real de los "pun…
RT @PedroCanoD: Un sistema de #inteligenciaartificial #AI llamado "ENDOANGEL" ha sido eficaz para el seguimiento en tiempo real de los "pun…
Un sistema de #inteligenciaartificial #AI llamado "ENDOANGEL" ha sido eficaz para el seguimiento en tiempo real de los "puntos ciegos" endoscópicos y una mejor detección del #cáncer temprano, según una investigación publicada en Endoscopy @endoscopyjrnl https://t.co/0DJzMYISeo
RT @endoscopyjrnl: #Podcast Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of…
#Podcast Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer by Lianlian Wu, Xinqi He, Mei Liu et al. Listen to the Podcast on YouTube: https://t.co/2xliz39DXa
RT @endoscopyjrnl: Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its perfo…
RT @endoscopyjrnl: Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its perfo…
RT @endoscopyjrnl: Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its perfo…
Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a randomized controlled trial by Lianlian Wu, Xinqi He, Mei Liu et al. Find out more here: https://t.co/TEnLbnJnyh https://t.co/gxWRiWlAZO
RT @MlOncology: Evaluating the Effects of An Artificial Intelligence System on Endoscopy Quality and Preliminarily Testing its Performance…
Evaluating the Effects of An Artificial Intelligence System on Endoscopy Quality and Preliminarily Testing its Performance on Detecting Early Gastric Cancer: A Randomized Controlled Trial https://t.co/CLha8hYj3A
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