According to A study conducted by researchers at the Max Planck Institute of Psychiatry, led by Nikolaos Koutsouleris, a combination of human and artificial intelligence optimizes prediction of mental health problems, including psychosis.
The study combined psychiatric evaluations with machine learning models that analyze clinical and biological data.
Predictions of the course of the disease
Although psychiatrists can make very accurate predictions about the positive outcomes of mental illness, they may underestimate the frequency of adverse cases that lead to relapses.
Therefore, algorithmic pattern recognition helps doctors to better predict the course of the disease.
The results of the study show that it is the combination of artificial and human intelligence that optimizes the prediction of mental illnesses, and not just one or the other. With the algorithm, then, doctors can identify at an early stage those patients who need therapeutic intervention and those who do not. As Koutsouleris explains:
This algorithm allows us to improve the prevention of psychosis, especially in young patients at high risk or with emerging depression, and to intervene in a more specific and timely manner.
Therefore, the algorithm does not replace treatment by medical professionals; rather, it aids decision making and provides recommendations on whether further testing should be performed on an individual basis.
The results of our study could help drive a reciprocal and interactive process of clinical validation and improve prognostic tools in real-world screening services.
Norman Bates I would celebrate it.
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The news
This algorithm is used to predict if you are going to suffer psychosis (if mixed with human intelligence)
was originally published in
Xataka Science
by
Sergio Parra
.