PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
April 29, 2026DiagnosticsOpen Access

Biological Cardiovascular Age Derived from Coronary CTA Reports Using a Large Language Model: A Novel Predictor of Major Adverse Cardiovascular Events?

View Full Paper
Ask AI
Bookmark
Share

Authors

GFGudrun M. FeuchtnerYSYannick ScharllJDJohannes Deeg

Discussion

Loading...

Member takes

Overview

Analysis shows artificial intelligence-enhanced biological age predicts major adverse cardiovascular events in patients with coronary artery disease, suggesting improved risk assessment.

Key Points

  • To evaluate the prediction accuracy of biological cardiovascular age derived from coronary CTA reports using artificial intelligence in patients with suspected coronary artery disease.
  • Analyzed coronary CTA reports using a large language model
  • Included symptomatic patients with suspected coronary artery disease
  • Measured coronary artery calcium and cardiac function metrics
  • Mean biological age was 57.2 years, with deviations indicating a mix of higher and lower than chronological age
  • MACE occurred in 8.7% of participants
  • BioAGE showed significantly better predictive accuracy for MACE than chronological age (c = 0.768 vs 0.590)

Cite This Study

Feuchtner et al. (2026) studied this question.

synapsesocial.com/papers/69f154a4879cb923c4944d18https://doi.org/10.3390/diagnostics16091298
View Full Paper
Ask AI
Bookmark
Share