Philips Cardiac Ambulatory monitoring detects atrial fibrillation (AF) with 100% sensitivity and positive predictivity for ≥30s AF episodes3. Its algorithm has analyzed 200M+ ECGs1, and its Medical Grade AI identifies 20+ events, including key arrhythmias: Pause, Atrioventricular Block (2nd & 3rd degree), AF/Atrial Flutter, and Ventricular Tachycardia4. Clinically validated deep-learning technology ensures high-quality ECG reports, enhancing interpretation efficiency5.