Machine Learning Reads Speech to Detect Cognitive Impairment in Schizophrenia
A machine learning analysis of Korean speech shows that reduced lexical richness, syntactic complexity, semantic coherence, and sentiment polarity distinguish ...
A machine learning analysis of Korean speech shows that reduced lexical richness, syntactic complexity, semantic coherence, and sentiment polarity distinguish ...
A systematic review of 51 longitudinal studies covering more than 10,000 young people at clinical high risk for psychosis identifies ...
A two-year Czech study used biweekly smartphone tasks to detect subtle motor progression in people with isolated REM sleep behavior ...
Researchers in Beijing developed an expert-guided large language model that extracts interpretable speech-based biomarkers of psychological resilience in major depressive ...
A community study of 339 cognitively unimpaired older adults found that motor speech features from self-administered rapid syllable repetition tasks ...
A new CNN-Transformer model detects depression from Chinese speech with over 95% precision by fusing wavelet-based spectral features with hybrid ...
Researchers have built a structured Italian adaptation of the CHAT and CLAN speech transcription system, reshaping standardized analysis of neurological ...
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© 2025 Scienmag - Science Magazine