The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary Strictures: A Systematic Review and Meta-analysis.

J Clin GastroenterolSep 6, 2026 (epub)
Clinical ResearchGastroenterology

Thomas R McCarty, Raj Shah, Ronan P Allencherril et al.

✦ AI-curated · Sources linked

In 30 seconds

This systematic review and meta-analysis evaluated the diagnostic performance of artificial intelligence (AI) combined with digital cholangioscopy for indeterminant and malignant biliary strictures. Analyzing five studies with 675 lesions, the pooled sensitivity was 95% and specificity was 88%, indicating high diagnostic accuracy (SROC) of 97%.

Key findings

  • Pooled sensitivity of AI-assisted cholangioscopy was 95% (95% CI: 85-98).
  • Pooled specificity was 88% (95% CI: 76-94).
  • Diagnostic accuracy (SROC) was 97% (95% CI: 95-98).
  • Sensitivity analysis of CNN studies showed similar results with 95% sensitivity.

Why it matters

The integration of AI in cholangioscopy may significantly enhance the diagnostic yield for biliary strictures, potentially leading to improved patient outcomes and more accurate treatment decisions.

Source

PubMed · PMID 39998988

Published in J Clin Gastroenterol. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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