AI Listens—But Can It Really Diagnose Mental Health?
If a computer can hear depression in your voice, do we even need psychiatrists anymore? AI may be closer than ever to reshaping mental health diagnosis, but are we ready to trust machines with such personal assessments?
AI is stepping into mental health diagnostics with impressive results. New AI models, developed in China and France, analyze speech patterns to detect conditions like depression and anxiety with up to 96% accuracy.
Unlike traditional methods that rely on words and conversations, these models focus on how you speak — pitch, rhythm, and even subtle voice variations that human ears can’t catch.
Researchers use deep learning and pre-training techniques to fine-tune these systems, offering a new way to diagnose patients, even those unable to articulate their distress.
While still in early stages, this tech could revolutionize mental health diagnostics globally, especially in under-resourced areas. But the question remains: Can we trust AI to personalize treatment in a field that demands human nuance?
Read the full article on The Economist.
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