Google Med-PaLM 2

Google's Med-PaLM 2 achieved 86.5% accuracy on USMLE medical licensing questions, matching expert clinicians and earning pilot deployments at Mayo Clinic and HCA Healthcare for clinical decision support. Doctors using Med-PaLM 2 for differential diagnosis reported a 40% reduction in time spent on complex case analysis compared to traditional literature searches. This performance surpasses #8 Apple Watch ECG's AFib detection specificity of 98%, as Med-PaLM 2 provides broader diagnostic reasoning while maintaining high precision. A 2025 study showed it reduced diagnostic errors by 25% in emergency settings, with cost savings estimated at $2,000 per avoided misdiagnosis.