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Artificial intellignce in pre-chat gpt era for mental health

Author: 
Ashish Kumar Yadav, Ankit Chaudhary, Harkishan Mamtani, Arnab Dutta, Narendra Kumar Singh, Vinit Kumar Singh and Mohit Shukla
Subject Area: 
Health Sciences
Abstract: 

Artificial intelligence (AI) is being employed more and more frequently in medicine for applications relating to physical health, but its adoption in the field of mental health has lagged. The topic of mental health holds a lot of potential for AI technology. AI has enormous potential to transform how we identify and understand mental illnesses. However, we only have a limited understanding of how these social, psychological, and biological systems interact. The pathophysiology of mental illness is extremely diverse, and the discovery of biomarkers may enable more accurate and useful classifications of various diseases.AI makes it possible to diagnose mental diseases early or prodromally, in this review, we highlight an overview of chatbot systems for mental health. Such systems use artificial intelligence to analyse natural language, simulate human conversation, and generate relevant recommendations based on a particular user's utterance and mental state. However, there are other restrictions and moral dilemmas that need to be taken into account, such as the effect on the patient-therapist relationship, the danger of over-reliance, and the limited capabilities and emotional intelligence of chatbots that might restrict their usefulness. Though the use of artificial intelligence in medicine has increased over the past few years, the issue of how it will affect mental illness is still complex and open for debate. This review discusses the application of artificial intelligence (AI) to the diagnosis, prognosis, and treatment of psychiatric illnesses.

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