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30-Day Risk Score for Mortality and Stroke in Patients with Carotid Artery Stenosis Using Artificial Intelligence Based Carotid Plaque Morphology.

Rohini J PatelDaniel Willie-PermorAustin FanSina ZarrintanMahmoud B Malas
Published in: Annals of vascular surgery (2024)
Our study demonstrates that combining both clinical factors and plaque morphology creates the best predication of a patient's risk for all-cause mortality or stroke from carotid artery stenosis. Additionally, we found that for patients with even 3 points in our risk score model has a 20% chance of stroke/death. Further prospective studies are needed to validate our findings.
Keyphrases
  • artificial intelligence
  • atrial fibrillation
  • machine learning
  • big data
  • coronary artery disease
  • deep learning
  • case report
  • cerebral ischemia
  • breast cancer risk