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.
This bibliographic review appraises Artificial Intelligence (AI) theory’s applications for psychiatry. Globally hundreds of millions of people suffer from mental diseases. Hundreds of thousands of people in the world commit suicide and also die from illicit drug overdose due to addiction. Diagnosis and therapy of psychiatric diseases are complex and machine/computer diagnostic tools for physicians are urgently needed to bolster their decision making. This study includes various applications AI/machine learning algorithms in various sub-specialties of psychiatry. AI/ML based psychiatry offers better value over conventional psychiatry in mood disorders, learning disability, children and adolescents mental illnesses, substance abuse. However, numerous implementation challenges for AI in clinical psychiatric practice still remain.