Journal Of Scientific Research
In Allied Sciences

An official journal of Medico Edge Publications Reg. No.002155/BLP/S/2017

Journal of Scientific Research in Allied Sciences has been indexed and abstracted by various international reputed agencies like : Google Scholar , Index Copernicus ICV 69.29 , World Catalogue , DRJI , General Impact Factor , Indian Science , ESJI indexing , Research Gate , Academic Keys , Scholar Steer , Global Impact Factor , Root Indexing , Cosmos Impact factor , Google Scholar , Cross Ref  and many more.
ISSN 2455-5800
IMPACT FACTOR: 3.0

ICV : 69.29

Abstract

TRANSFORMING MENTAL HEALTH CARE: THE ROLE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSIS, TREATMENT AND SUPPORT

Kapil Kumar and Vikas Sharma

ABSTRACT

The mental health industry is witnessing a transformative transformation with the integration of artificial intelligence (AI) technology. This abstract explores the multifaceted role of AI in transforming mental health care, focusing on its contribution to diagnosis, treatment, and support. Diagnosis: AI algorithms are increasingly being used to improve the accuracy and efficiency of mental health diagnosis. By analyzing large databases that include behavioral patterns, genetic markers and neuroimaging data, AI-driven diagnostic tools can identify subtle indicators of various mental health disorders. Machine learning algorithms trained on diverse patient populations can spot complex patterns that human doctors might miss, thereby facilitating early detection and personalized diagnosis. Therapy: AI-powered therapy is changing traditional approaches to mental health interventions. Equipped with natural language processing capabilities, virtual and chat therapy provides round-the-clock support and guidance for those experiencing mental health challenges. This digital companion provides personalized interventions, from cognitive-behavioral therapy exercises to cognitive processes, tailored to each user's unique needs and preferences. In addition, AI-driven predictive models help doctors design personalized treatment plans by predicting treatment outcomes and optimizing drug regimens based on individual responses. Support: AI technology plays an important role in improving the availability and accessibility of mental health support services. The teletherapy platform uses AI algorithms to match people with licensed therapists and peer-to-peer support systems, overcome geographic barriers, and reduce the stigma associated with seeking mental health care. In addition, AI-powered monitoring tools continuously analyze user-generated data, such as social signals and smartphone usage patterns, to detect early signs of problems and proactively intervene. By harnessing the power of AI, mental health support systems can provide timely interventions and improve the resilience of people experiencing mental health challenges.

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