Applying versatility of neural network modeling
Yakovleva M.V.1, Nikitina A.A.1
1 Московский государственный технический университет имени Н.Э. Баумана
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Journal paper
Economics and society: contemporary models of development (РИНЦ)
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Volume 14, Number 1 (January-March 2024)
Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=68621659
Abstract:
The process of introducing artificial intelligence into healthcare has been going on for many years, but the most revolutionary possibilities of this technology in the field of screening, diagnosis and treatment of patients, which would radically change the lives of people with mental disorders, have yet to be explored and implemented into an effective and functional product. This article examines the possibilities of using deep learning algorithms, natural language processing, pattern search in certain types of screening and analysis of the patient's general medical history, as well as computer forecasting based on the data obtained. The study examines the conditions for the most effective use of artificial intelligence, taking into account errors and shortcomings in the existing long-term practice, and presents a possible plan for the creation and implementation of an artificial intelligence system in psychotherapy.
Keywords: artificial intelligence, neural networks, digitalization of medicine, accessible psychotherapy, psychiatry, psychology, neural networks, mental health, natural language processing, computer vision
JEL-classification: O31 O32 O 33
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