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Endoscopy August 2023 PMID 36781156

Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model.

Carlos Robles-Medranda, Jorge Baquerizo-Burgos, Juan Alcivar-Vasquez, Michel Kahaleh, Isaac Raijman, Rastislav Kunda, Miguel Puga-Tejada, Maria Egas-Izquierdo, Martha Arevalo-Mora, Juan C Mendez, Amy Tyberg, Avik Sarkar, Haroon Shahid, Raquel Del Valle-Zavala, Jorge Rodriguez

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Mentions

10
Peak: 5 in Jul 2023
across 3 sources since Jul 2023

Extended reach

84,608
potential audience

Total likes

15

Video views

269

Mentions per month

Jul 2023 – Aug 2023

Where it's discussed

  • X / Twitter6 posts
  • YouTube2 videos
  • Facebook2 posts

AI synopsis

What people are saying

The discussions showcase enthusiastic support for the article, with posts praising the development of the CNN model as a potential game-changer in diagnosing bile duct neoplasia. Phrases like 'Editor's Choice' and mentions of 'multicenter validation' underscore the perceived high impact, while references to podcasts and commentaries demonstrate strong engagement and interest.

AgreementStrong agreement

Most discussions highlight the significance and promise of AI in diagnostic procedures, indicating strong support.

InterestHigh interest

The posts show high curiosity and engagement, with references to podcasts, commentary, and direct links for deeper exploration.

EngagementHigh engagement

Participants actively discuss the article's methodology and implications, suggesting deep involvement with the content.

ImpactHigh impact

The rate at which users emphasize AI's potential to enhance clinical practice and improve diagnostic accuracy reflects a belief in its substantial influence.

Abstract in brief

  • This study focused on creating and validating a convolutional neural network (CNN) model to detect cancerous (neoplastic) lesions in the bile duct during real-time digital cholangioscopy, comparing its performance with both expert and nonexpert endoscopists.
  • The CNN model showed strong diagnostic accuracy, with a sensitivity of 90.5% and a negative predictive value of 87.8%, and it performed better than both nonexperts and some experts in distinguishing neoplastic from nonneoplastic lesions.
  • Overall, the developed CNN demonstrated that artificial intelligence can effectively identify neoplasia in bile duct lesions, potentially aiding less experienced clinicians and improving diagnostic consistency during cholangioscopy procedures.]
Read the full abstract

Top posts

Most liked on X and Bluesky
Endoscopy Journal
@endoscopyjrnl · X

#podcast: Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model Listen here: https://t.co/TAGJjfkjB2 Read here: https://t.co/8mCMiwohY7 Carlos Robles-Medranda et al.

Aug 12, 2023 · 5 likes · 11,534 followers View post →
Endoscopy Journal
@endoscopyjrnl · X

Editor's Choice: AI for diagnosing neoplasia during real-time digital cholangioscopy Find the article at: https://t.co/8mCMiwohY7 Carlos Robles-Medranda, Jorge Baquerizo-Burgos, Juan Alcivar-Vasquez et al. https://t.co/SxWGSLpbJs

Jul 28, 2023 · 4 likes · 1 share · 11,547 followers View post →
Endoscopy Journal
@endoscopyjrnl · X

#AuthorCommentary: Carlos Robles-Meranda on "Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model" Watch: https://t.co/2dB5IhMygt Find the article at: https://t.co/8mCMiwnK8z

Jul 30, 2023 · 3 likes · 11,547 followers View post →
Endoscopy Journal
@endoscopyjrnl · X

https://t.co/E1SJyjik5e https://t.co/nfIsryCeEe

Aug 15, 2023 · 1 like · 1 share · 11,547 followers View post →
Gautam
@sharma14828 · X

RT @endoscopyjrnl: Editor's Choice: AI for diagnosing neoplasia during real-time digital cholangioscopy Find the article at: https://t.co…

Jul 28, 2023 · 1 share · 37,793 followers View post →
Eran Shlomovitz
@EShlomovitz · X

RT @endoscopyjrnl: https://t.co/E1SJyjik5e https://t.co/nfIsryCeEe

Aug 15, 2023 · 1 share · 364 followers View post →

All mentions

Eran Shlomovitz
@EShlomovitz · X

RT @endoscopyjrnl: https://t.co/E1SJyjik5e https://t.co/nfIsryCeEe

Aug 15, 2023 · 1 share · 364 followers View post →
Endoscopy Journal
@endoscopyjrnl · X

https://t.co/E1SJyjik5e https://t.co/nfIsryCeEe

Aug 15, 2023 · 1 like · 1 share · 11,547 followers View post →
Endoscopy Journal
@endoscopyjrnl · X

#podcast: Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model Listen here: https://t.co/TAGJjfkjB2 Read here: https://t.co/8mCMiwohY7 Carlos Robles-Medranda et al.

Aug 12, 2023 · 5 likes · 11,534 followers View post →
Endoscopy Journal
@endoscopyjrnl · X

#AuthorCommentary: Carlos Robles-Meranda on "Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model" Watch: https://t.co/2dB5IhMygt Find the article at: https://t.co/8mCMiwnK8z

Jul 30, 2023 · 3 likes · 11,547 followers View post →
Gautam
@sharma14828 · X

RT @endoscopyjrnl: Editor's Choice: AI for diagnosing neoplasia during real-time digital cholangioscopy Find the article at: https://t.co…

Jul 28, 2023 · 1 share · 37,793 followers View post →
Endoscopy Journal
@endoscopyjrnl · X

Editor's Choice: AI for diagnosing neoplasia during real-time digital cholangioscopy Find the article at: https://t.co/8mCMiwohY7 Carlos Robles-Medranda, Jorge Baquerizo-Burgos, Juan Alcivar-Vasquez et al. https://t.co/SxWGSLpbJs

Jul 28, 2023 · 4 likes · 1 share · 11,547 followers View post →