AI Speech Model Detects Neurological Disorders With 92% Accuracy
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A new AI framework can detect neurological disorders by analyzing speech with over 90% accuracy. The model, called CTCAIT, captures subtle patterns in voice that may indicate early symptoms of diseases like Parkinson’s, Huntington’s, and Wilson disease.
Schizophrenia is a psychiatric disorder characterized by altered thinking and emotional patterns, hallucinations, false or irrational beliefs (i.e., delusions), cognitive deficits, and disorganized speech.
Bipolar disorder BD, on the other hand, is marked by extreme mood swings, ranging between periods of…
New joint research program combines UCSF’s advanced clinical and research teams with GE HealthCare’s technical and engineering expertise to develop solutions that directly impact patient care.
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