Discover How AI Revolutionizes Mental Health Through Neuroscience Research

Monday, 30 September 2024, 12:46

AI is transforming mental health by accurately detecting depression through facial cues and eye movements. Research from the Stevens Institute of Technology showcases how artificial intelligence, including machine learning and deep learning, can analyze neurobiological signals, significantly enhancing our understanding of psychology in relation to depression.
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Discover How AI Revolutionizes Mental Health Through Neuroscience Research

AI and Mental Health

Artificial intelligence (AI) is at the forefront of revolutionizing mental health assessments. Recent studies from the Stevens Institute of Technology show that AI can effectively detect signs of depression using sophisticated techniques like deep learning. These tools monitor facial cues and eye movements to provide insights into emotional states.

How AI Tools Work

  • PupilSense measures pupil responses to gauge depression levels with 76% accuracy.
  • FacePsy analyzes micro-expressions and body language to detect shifts in mood.

These AI systems function seamlessly in the background, presenting a promising future in mental health diagnostics.


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This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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