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Cardiology
Sys. Review
Review discusses digital twin architecture for predicting aortic disease progression versus static thresholds
Digital Twins Predict Aortic Aneurysm Growth Before It Becomes Dangerous
This review examines the potential of patient-specific digital twin architecture for managing patients with aortic disease. The authors cont…
A new digital twin model predicts how your aortic aneurysm will grow, helping doctors time treatment earlier and more precisely.
Frontiers
May 11, 2026
Cardiology
Cohort
High neutrophil-to-albumin ratio associated with increased 30-day mortality in acute aortic dissection patients
New Blood Test Could Save Aortic Dissection Patients
This retrospective cohort study of 415 patients with acute aortic dissection at Yuebei People's Hospital evaluated the neutrophil-to-albumin…
A man rushes to the ER with sudden, tearing chest pain.
Frontiers
Apr 21, 2026
Cardiology
Meta-analysis
Image-based deep learning models show high accuracy for aortic dissection segmentation and diagnosis compared to clinicians
AI Reads Your Scan Better Than Doctors
This systematic review and meta-analysis pooled data from 48 studies evaluating image-based deep learning models against clinicians for aort…
Smart computer programs now spot life-threatening aortic tears with accuracy that matches top human doctors, catching dangerous signs humans…
Frontiers
Apr 14, 2026