A team has built an AI-based interface that enables real-time communication between patients and epilepsy monitoring devices. As part of a small clinical study at the University of Pennsylvania in Philadelphia, patients used a smartphone application to inquire about their own physiological data and received accurate information in response. In turn, the system learned from patient feedback to improve seizure detection, ultimately reducing its false alarms by about 80%. The research is published in Nature Medicine.