A novel and accurate emotion recognition system for real-time and continuous patient monitoring in psychiatry

150M people suffer from mental disorders in Europe & this number is sharply increasing. There are not enough psychiatrists to cope with the situation: a psychiatrist sees 1,000 patients in sessions separated every 3-4 months. Psychiatrists have no way to know if a patient's treatment is working and if there is any risk of relapse/suicide between sessions. A patient's emotional status gives insights into treatment effectiveness and diagnosis of major depressive disorder, but there are no accurate tools to monitor emotions remotely and continuously.Cephalgo has solved this challenge & developed the first accurate, remote & continuous emotion tracker to monitor treatment effectiveness, and predict the best course of treatment for a given patient profile. Combining speech analysis & an AI-driven emotion recognition algorithm, our AI detects emotions with high accuracy & predicts the best treatment to reduce the trial & error approach currently employed in psychiatry.