Machine learning-based system for identification and monitoring of nervous system disorders

摘要

Systems and methods for diagnosing and monitoring a patient's nervous system disorders using artificial intelligence-based systems. The system may include multiple sensors, a set of trained machine learning-based diagnostic and monitoring tools, and output devices. Multiple sensors may collect data related to nervous system disorders. Trained diagnostic tools will learn to use sensor data to assign risk assessments for various nervous system disorders. Trained monitoring tools will track the development of disabilities over time and can be used to recommend or amend management of related treatments. The purpose of the system is to make an accurate assessment of the presence and severity of a patient's nervous system disorder without requiring input from a professionally trained neurologist.