Researchers from the RMIT University have unveiled a new app based on artificial intelligence. It is able to quickly detect strokes using Face ID with 82% accuracy. The app uses facial recognition technology to detect stroke by facial symmetry and certain muscle movements. The FACS system, developed in the 1970s to encode the movements of facial muscles, categorizes facial movements based on muscle contraction or relaxation. This provides a detailed basis for analyzing a person's condition. A stroke occurs when the blood supply to part of the brain is interrupted or reduced, preventing oxygen and nutrients from reaching brain tissue. Even a slight delay in treatment can cause permanent damage to brain cells. It is important to note that nearly 13% of stroke cases go undetected in emergency rooms and hospitals. The researchers claim that using this smartphone app in combination with traditional diagnostic methods will allow emergency physicians to quickly identify stroke cases and plan treatment in advance.