Artificial Intelligence (Ai) In Mental Health Diagnosis and Treatment

Authors

  • Dhruvitkumar Talati Author

DOI:

https://doi.org/10.60087/jklst.vol2.n3.p253

Keywords:

Mental health disorders, Artificial Intelligence (AI), Diagnosis, Treatment, Machine learning, Continuous monitoring, Mental health care, Depression, Smartphone applications, Remote therapy sessions

Abstract

This article explores the increasing prevalence of mental health disorders and the pivotal role of Artificial Intelligence (AI) in diagnosis and treatment. It highlights how AI enhances diagnostic processes, continuous monitoring, and personalized mental health care experiences. The piece showcases examples of AI applications in detecting signs of mental illness through speech and video analysis, emphasizing improved accuracy for conditions like depression, Post-traumatic stress disorder PTSD, Attention deficit hyperactivity disorder ADHD, and Autism spectrum disorder ASD. Additionally, it discusses AI's role in continuous monitoring, prediction, and addressing the shortage of psychiatrists globally. The article concludes by introducing AI-based apps designed to assist individuals in managing depression, serving as complementary tools in collaboration with healthcare professionals. Overall, it underscores the transformative impact of AI on mental healthcare, offering innovative solutions for more effective, personalized, and accessible support.

Downloads

Download data is not yet available.

Downloads

Published

16-08-2023

How to Cite

Talati, D. (2023). Artificial Intelligence (Ai) In Mental Health Diagnosis and Treatment. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 251-253. https://doi.org/10.60087/jklst.vol2.n3.p253