Artificial Intelligence (AI) in Psychiatry – A Summary

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Saagar S Kulkarni
Saagar S Kulkarni
2
Rohan S Kulkarni
Rohan S Kulkarni
3
Kathryn E Lorenz
Kathryn E Lorenz

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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.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

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): .

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Artificial Intelligence in Psychiatry research article.
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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-A Classification: DDC Code: 006.3 LCC Code: Q335
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v1.2

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August 26, 2022

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English

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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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Artificial Intelligence (AI) in Psychiatry – A Summary

Saagar S Kulkarni
Saagar S Kulkarni
Rohan S Kulkarni
Rohan S Kulkarni
Kathryn E Lorenz
Kathryn E Lorenz

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