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2 clusters · 2 sources · 9 days · First seen · Last updated

AI development for depression detection

Overview

Researchers are developing artificial intelligence technologies to assist in the detection and prediction of depression.

In China, researchers at Shenzhen University created a deep learning model that analyzes MRI scans, blood tests, and questionnaires to predict depression risk up to four years in advance. The study found that an individual’s ability to recognize emotions on facial expressions is a key indicator of future mental health outcomes.

In Turkey, a ‘Machine Learning Supported Depression Detection System’ was developed at Zonguldak Bülent Ecevit University Hospital. This technology uses smart glasses to capture facial micro-expressions and visual cues during psychiatric consultations. Designed as a decision-support mechanism for medical professionals, the system aims to provide objective data to supplement subjective clinical interviews.

Entities

Shenzhen University · Hakan Kayış · İzmir University of Economics · Çınar Gedizlioğlu · Zonguldak Bülent Ecevit University

Timeline

  1. 18 days ago

    [TECHNOLOGY] 2 sources
    Zonguldak University develops AI-powered depression detection system

    A machine learning-supported depression detection system using smart glasses and facial analysis has received a patent in Turkey to provide objective decision support for psychiatrists.

  2. 26 days ago

    [TECHNOLOGY] 2 sources
    Shenzhen University researchers develop AI to predict depression risk

    Shenzhen University researchers have developed an AI model that can predict depression risk up to four years in advance by analyzing emotional recognition patterns and neural responses.

Sources

gazeteekspres.com · safakgazete.com