Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This bibliographic review appraises Artificial Intelligence (AI) theory’s applications in the field of psychiatry. Globally hundreds of millions of people suffer from mental disorders. Hundreds of thousands of people in the world commit suicide and also die from an illicit drug overdose due to addiction. Diagnosis and therapy of psychiatric disorders are complex, and machine/computer diagnostic tools for physicians are urgently needed to bolster their decisionmaking. This study includes various applications AI/machine learning algorithms in various subspecialties of psychiatry. AI/ML-based psychiatry offers better value over conventional psychiatry in mood disorders, learning disabilities, children and adolescents’ mental illnesses, and substance abuse. However, numerous implementation challenges of AI in clinical psychiatric practice remain.
Saagar S Kulkarni. 2026. \u201cArtificial Intelligence (AI) in Psychiatry – A Summary\u201d. Global Journal of Medical Research - A: Neurology & Nervous System GJMR-A Volume 22 (GJMR Volume 22 Issue A3): .
Crossref Journal DOI 10.17406/gjmra
Print ISSN 0975-5888
e-ISSN 2249-4618
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Total Score: 133
Country: United States
Subject: Global Journal of Medical Research - A: Neurology & Nervous System
Authors: Saagar S Kulkarni, Rohan S Kulkarni, Kathryn E Lorenz (PhD/Dr. count: 0)
View Count (all-time): 135
Total Views (Real + Logic): 1414
Total Downloads (simulated): 19
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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This bibliographic review appraises Artificial Intelligence (AI) theory’s applications in the field of psychiatry. Globally hundreds of millions of people suffer from mental disorders. Hundreds of thousands of people in the world commit suicide and also die from an illicit drug overdose due to addiction. Diagnosis and therapy of psychiatric disorders are complex, and machine/computer diagnostic tools for physicians are urgently needed to bolster their decisionmaking. This study includes various applications AI/machine learning algorithms in various subspecialties of psychiatry. AI/ML-based psychiatry offers better value over conventional psychiatry in mood disorders, learning disabilities, children and adolescents’ mental illnesses, and substance abuse. However, numerous implementation challenges of AI in clinical psychiatric practice remain.
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