How AI Is Detecting Heart Disease from Apple Watch Data

Episode 29 of Healthtech Talks explores how artificial intelligence is analyzing data from consumer wearables like the Apple Watch to detect atrial fibrillation and other heart conditions before symptoms appear. Lucas and Luna discuss a landmark study from the Stanford Digital Health Lab showing that AI models trained on photoplethysmography data can identify irregular heart rhythms with 98 percent sensitivity. They break down how the technology works, where it still falls short (including false positives and demographic bias), and what it means for the future of preventive cardiology. The episode also touches on FDA clearance pathways for software-as-a-medical-device and the role of telehealth in follow-up care. No hype, just the signals that matter. #AppleWatch #AtrialFibrillation #AIinHealthcare #WearableTech #DigitalHealth #Cardiology #StanfordDigitalHealth #Photoplethysmography #FDA #SaMD #PreventiveMedicine #MachineLearning #Telehealth #Healthtech #Business #FexingoBusiness #BusinessPodcast #HealthtechTalks Keep every episode free: buymeacoffee.com/fexingo