Our research team will be presenting our fascinating technology at this exhibition, feel welcome to stop by and watch us demonstrate!
Time: 5-8 December 2019 Venue: Taipei World Trade Center Exhibition Hall 1 Exhibitors: Ministry of Science and Technology Forward-Looking Technology Academic Institutions, National Applied Research Laboratories, National Synchrotron Radiation Research Center, National Science and Technology Center for Disaster Reduction Features:6 Major Fields of Application: Bio-tech & New Drugs, Medical Devices, AI & IOT Applications, Smart Machinery & Evolutionary Materials, Electronic & Optoelectronics, Smart Disaster Prevention System 4 Key Features: Precision Sports, Smart Agriculture, Space Technology, Semiconductor Moonshot Project
Mental illness is a critical health care issue in Taiwan. Psychiatric diagnosis has been relying on diagnostic interview which is based on behavioral or symptom criteria. The emergence of brain imaging diagnostic platform can efficiently improve the accuracy of psychiatric diagnosis! Furthermore, this platform can identify the deficit brain regions associated with schizophrenia, providing a novel way to evaluate mental illness.
This technique is led by Dr. Albert C. Yang at the Institute of Brain Science/Digital Medicine Center at National Yang Ming University and Dr. Shih-Jen Tsai at Taipei Veterans General Hospital. The AI-based schizophrenia brain imaging diagnosis can be a new tool for medical psychiatrists. Our team utilized brain imaging and genomic big data to develop an explainable deep learning classifier. Users can simply upload routine MRI brain images to our platform to obtain clinically useful diagnostic information, which could aid medical doctor for diagnostic evaluation and treatment options.
Additionally, this platform cannot only provide schizophrenia assessment but also to visualize the brain regional deficit associated with schizophrenia. Through this way, we could improve the clinical work flow to become more clear and straightforward. This web-based diagnostic platform has been validated in a multi-centers trial.
AI-based Web Diagnostic System for Assessing Psychiatric Disorder
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