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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Review article: Neural networks in psychiatry

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  • Review article: Neural networks in psychiatry

Praveen Kumar Yadav 1, * and Kumud Sahu 2

1 Senior Consultant Neurologist and Director Aarogyam Neuroclinic,Associate Professor in General  Medicine, SRIMS, Durgapur, West Bengal, India.
2 Resident, Department of General Medicine, DSP Main Hospital, Durgapur, India.
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 17(01), 343-352
Article DOI: 10.30574/wjarr.2023.17.1.0018
DOI url: https://doi.org/10.30574/wjarr.2023.17.1.0018
 
Received on 29 November 2022; revised on 05 January 2023; accepted on 08 January 2023
 
Mental health is an intricate branch of medicine that involve the various brain circuits including frontal, temporal and occipital lobes, may also involve the structure and functional unit of brain. Many psychiatrist treat on the basis of subjective experience rather than implying the pathophysiology of the disease process. So in this article, we highlighted the concept of various brain circuits, role of neurochemicals and its involvement in various neuro-psychiatric illness like schizophrenia, Obsessive compulsive disorder, depression etc. Analogous to our human brain is Deep Neural Network (DNN) and Machine learning, based on "Graph Theory"(Artificial Neural Network), play a crucial role in working of Artificial Intelligence (AI) techniques. Various neuroimaging techniques like fMRI, is described in detail. Importance of AI in early diagnosis, individual treatment, counselling and research of various illness and AI based applications has been narrated.
 
Artificial Intelligence; Machine Learning; Pyschiatry; Machine Learning
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-0018.pdf

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Praveen Kumar Yadav and Kumud Sahu. Review article: Neural networks in psychiatry. World Journal of Advanced Research and Reviews, 2023, 17(1), 343-352. Article DOI: https://doi.org/10.30574/wjarr.2023.17.1.0018

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