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 E-Mail IMAGE: Artificial intelligence may help predict psychosis in young patients with clinical high-risk syndromes or recent-onset depression. view more  Credit: Gerd Altmann Scientists from the Max Planck Institute of Psychiatry, led by Nikolaos Koutsouleris, combined psychiatric assessments with machine-learning models that analyse clinical and biological data. Although psychiatrists make very accurate predictions about positive disease outcomes, they might underestimate the frequency of adverse cases that lead to relapses. The algorithmic pattern recognition helps physicians to better predict the course of disease. The results of the study show that it is the combination of artificial and human intelligence that optimizes the prediction of mental illness. This algorithm enables us to improve the prevention of psychosis, especially in young patients at high risk or with emerging depression, and to intervene in a more targeted and well-timed manner explains Kouts

Nikolaos koutsoulerisDominicb dwyerFranziska degenhardtMax planck institute of psychiatryMax planck instituteMachine learning workflowsPatients with clinical high risk syndromesRecent onset depressionMedicine healthMental healthDepression angerசமீப தொடக்கம் மனச்சோர்வுமருந்து ஆரோக்கியம்மன ஆரோக்கியம்மனச்சோர்வு கோபம்