News-Medical.Net January 22, 2026
A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording where participants described their week, according to a study published January 21, 2026 in the open-access journal PLOS Mental Health by Victor H. O. Otani, from Santa Casa de São Paulo School of Medical Sciences and Infinity Doctors Inc., Brazil, and colleagues.
Major depressive disorder is a mental health condition that affects over 280 million people globally, and early detection can be critical for timely treatment. Here, Otani and colleagues used machine learning models to classify individuals with and without major depressive disorder based on WhatsApp voice messages.
The authors used two...
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