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Artificial Intelligence and 3D Printing Used in the Treatment of Schizophrenia

Artificial Intelligence (AI) is an often divisive topic, however, it is now undeniable that this tool has become extremely powerful and valuable to humans. In fact, AI is now being used in areas such as medicine, especially for the diagnosis…

AI schizophrenia
3Dnatives

Artificial Intelligence (AI) is an often divisive topic, however, it is now undeniable that this tool has become extremely powerful and valuable to humans. In fact, AI is now being used in areas such as medicine, especially for the diagnosis of diseases and the personalization of drug therapies, always accompanied by the supervision of medical personnel. Thanks to this technology, numerous disease diagnostics have been successfully carried out in the fields of orthopedics and oncology. Currently, the use of AI, combined with 3D printing, is also expanding to mental disorders such as schizophrenia.

A recent study conducted an in-depth investigation into how AI and 3D printing, can help in the treatment of diseases such as schizophrenia. According to the World Health Organization, there are about 21 million people in the world with schizophrenia. It is a disease that arises between the ages of 18 for women and 25 for men and whose symptoms include delusions, hallucinations and cognitive impairment. AI therefore could help physicians not only make early diagnosis of schizophrenia on high-risk individuals, but also personalize their treatment and medication.

The major difficulty related to the diagnosis of schizophrenia is that, unlike areas such as orthopedics and oncology, the symptomatology of this disease is heterogeneous and can therefore manifest itself in different forms for each patient. In addition, schizophrenia cannot be diagnosed by serving biological indicators, but only through the clinical symptoms established by the DSM, i.e., The Diagnostic and Statistical Manual of Mental Disorders, and the ICD, International Classification of Diseases, which all the way are not always sufficient to recognize the less classical symptoms of the disease.