Neural Interface AI: The Future of Personalized Mental Health Support

This article explores the integration of artificial intelligence and neural interface technology in revolutionizing mental health care delivery. The article examines how advanced Brain-Computer Interface (BCI) technology combined with AI enables real-time monitoring, early detection, and personalized intervention in mental health care. The article investigates the technical framework, adaptive learning capabilities, therapeutic integration, and clinical applications of these systems. Through comprehensive analysis of implementation results and clinical trials, the article demonstrates the potential of AI-powered neural interfaces in addressing global mental health challenges, improving treatment accessibility, and enhancing care delivery through continuous monitoring and personalized interventions.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-03
DOI
https://doi.org/10.32996/jcsts.2025.7.3.41
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Neural Interface AI: The Future of Personalized Mental Health Support

Praveen Kumar Manchikoni Surendra
Journal of Computer Science and Technology Studies
Machine Learning in Healthcare
article

Neural Interface AI: The Future of Personalized Mental Health Support

Praveen Kumar Manchikoni Surendra
article en

Abstract

This article explores the integration of artificial intelligence and neural interface technology in revolutionizing mental health care delivery. The article examines how advanced Brain-Computer Interface (BCI) technology combined with AI enables real-time monitoring, early detection, and personalized intervention in mental health care. The article investigates the technical framework, adaptive learning capabilities, therapeutic integration, and clinical applications of these systems. Through comprehensive analysis of implementation results and clinical trials, the article demonstrates the potential of AI-powered neural interfaces in addressing global mental health challenges, improving treatment accessibility, and enhancing care delivery through continuous monitoring and personalized interventions.

Journal of Computer Science and Technology StudiesVol. 7(3)
Openalex Percentile: Top 96%
Machine Learning in Healthcare
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