Utilising Artificial Intelligence (AI) in the Diagnosis of Psychiatric Disorders: A Narrative Review

Abstract

In the era of machinery, Artificial Intelligence (AI) has become the new tool for managing patients in psychiatry. Nowadays, many psychiatric disorders are being diagnosed and treated with the help of AI. New technologies like Machine Learning (ML), robots, Deep Learning (DL), and sensor-based systems provide a different perspective on psychiatric disorders. The present narrative review article summarised the use of AI in diagnosing and treating psychiatric disorders. AI can assist a patients with a psychiatric diseases in prognosis, clinical diagnosis, management therapy, and addressing clinical and technological issues. It highlights various AI methods used in mental healthcare, with a focus on multiple ML perspectives. Additionally, AI has the potential to address several factors, including privacy, transparency, bias, and other social and ethical considerations. The aim of the present review was to redefine mental disorders more objectively, personalise treatments, facilitate early diagnosis, and provide patients with more choices in their care. Through the present article, author aimed to highlight the use of AI in the diagnosis of various psychiatric disorders such as depression, schizophrenia, bipolar disorder, Autism Spectrum Disorder (ASD), and Alzheimer’s Disease (AD).

Keywords

• bipolar
• mental
• neuroimaging
• robotics
• schizophrenia