How AI Predicts Heart Attacks with Routine CT Scans

Lucas and Luna explore how artificial intelligence is analyzing routine cardiac CT scans to detect hidden plaque and predict heart attacks years in advance. They focus on a landmark study from 2025 showing that an AI model trained on over 20,000 scans identified high-risk patients 30 percent more accurately than traditional risk scores. The hosts discuss how the tool, developed by researchers at Oxford and now being trialed at the Mayo Clinic, works by flagging inflammation and low-attenuation plaque invisible to the human eye. They also consider the implications for preventive cardiology, the challenge of overdiagnosis, and what this means for how we think about 'normal' test results. #AI #HeartAttackPrediction #CardiacCT #PreventiveCardiology #MedicalAI #RadiologyAI #OxfordUniversity #MayoClinic #PlaqueDetection #RiskStratification #Healthtech #DigitalHealth #BusinessPodcast #FexingoBusiness #MachineLearning #Cardiology #CTScan #AIHealthcare Keep every episode free: buymeacoffee.com/fexingo