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Apple AI model flags health conditions with up to 92% . . . They trained a new foundation model on more than 2 5 billion hours of wearable data, showing it can match (and even outperform) existing models built on low-level sensor data They call the new
New Apple Watch AI Model Can Reveal Hidden Health Conditions A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than traditional sensor-based approaches, according to a
Apple Watch’s New AI Predicts Your Health With 92% Accuracy Researchers from the Apple Heart and Movement Study (AHMS) have developed a new AI foundation model called WBM (Wearable Behavior Model) And here’s why it’s groundbreaking: instead of focusing on raw sensor data like heart rate signals, WBM learns directly from your behavioral metrics, things like step count, walking pace, sleep duration
How Apple’s Future Watch AI Could Predict Health Conditions . . . The Wearable Behavior Model (WBM) is an AI-driven health prediction engine developed by Apple’s machine learning research team It leverages behavioral and biometric data from the Apple Watch—such as movement, heart rate, breathing, sleep patterns, and activity levels—without requiring any new hardware or sensors
Apple Develop AI Model That Predicts Health Using Behavioral . . . New Model: Wearable Behaviour Model (WBM) uses daily behavioral data from Apple Watch wearers—such as sleep, mobility, and activity patterns—instead of just raw sensor inputs like heart rate or oxygen levels
New AI model from Apple Watch predicts health issues before . . . Enter the Wearable Behavior Model (WBM), Apple’s new “foundation model” that digests high‑level behavioral metrics—things like daily step counts, sleep duration, heart rate variability, and broad mobility patterns—to spot subtle, time‑extended changes in your physiology