Did you know that fingerprints can predict schizophrenia? Researchers of FIDMAG Sisters Hospitallers of the Mental Health area of CIBER (CIBERSAM) have carried out an innovative multicentre study in the Sisters Hospitallers network of hospitals in Spain. The results, published in the prestigious Schizophrenia Bulletin, show that the use of advanced artificial algorithms makes it possible to achieve 70% accuracy in distinguishing between the fingerprints of people with schizophrenia and those of healthy people.
This discovery could transform the early diagnosis of schizophrenia as fingerprints are stable throughout life and develop at the same embryonic stages as the central nervous system. The ability to detect the risk of schizophrenia through a method as accessible as fingerprints could facilitate early interventions and improve treatment outcomes.
Developments on Artificial Intelligence and multicentre studies
Recent developments in artificial intelligence, specifically called deep learning, have allowed us to analyse fingerprints patterns in all their complexity. However, the implementation of these techniques requires large data volumes. For this reason, FIDMAG Sisters Hospitallers and CIBERSAM have coordinated a multicentre study that has made it possible to collect the fingerprints of nearly 1700 people, 700 of whom are patients with schizophrenia.
This development reflects the commitment of Sisters Hospitallers and FIDMAG to innovation in mental health, using tools such as artificial intelligence to develop practical and effective solutions for the diagnosis and treatment of serious mental disorders.
Watch the video: AI in the prediction of Schizophrenia
To go deeper into the advances FIDMAG is making in the research of mental health and the use of artificial intelligence, we would like to invite you to watch this video where Edith Pomarol-Clotet, Managing Director of FIDMAG, shares valuable information on how fingerprints can predict Schizophrenia and the positive results of these studies.
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