How AI Is Decoding Your Apple Watch ECG for Hidden Heart Risks

Have you ever taken an ECG on your Apple Watch and wondered what it really means? In this episode, Lucas and Luna explore how hospitals are using AI to find hidden heart conditions—like atrial fibrillation and long QT syndrome—from consumer ECG data. Lucas walks through a study from Mount Sinai's digital health lab, where an AI model trained on 2.9 million watch ECGs flagged risks that standard alerts would miss. Luna asks about false positives and the burden on doctors. The hosts also touch on where this technology is headed: from sleep apnea detection to catching electrolyte imbalances before they become emergencies. If you've ever worn a smartwatch, this episode will change how you look at that health app. Recorded July 11, 2026. #AIHeartHealth #AppleWatchECG #WearableAI #DigitalHealth #ConsumerECG #MountSinai #AtrialFibrillation #LongQTSyndrome #MachineLearningCardiology #HealthTech #PreventiveCare #VirtualTrials #SmartwatchDiagnostics #FexingoBusiness #BusinessPodcast #Technology #BusinessAndTechnology #HealthInnovation Keep every episode free: buymeacoffee.com/fexingo