Google Trains Gemini AI Model Using Simulated Medical Encounters

Google and DeepMind published results on ResidencyRL, a system that trained Gemini 3.5 Flash through nearly 50,000 simulated doctor-patient interactions. By practicing diagnostic routines and communication skills against automated patient personas, the model improved its clinical accuracy from 81% to 88%.