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@article{188430,
        author = {Krishna Pandya and Harsh Pagada and Shital Vaghela and Foram Pandya},
        title = {AI Meets The Mind: Technology’s Role In Mental Health Care As a Medicine},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1673-1678},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188430},
        abstract = {The global rise of internal health diseases, including depression, anxiety, and stress, necessitates innovative approaches for effective assessment and intervention. In the contemporary AI period, artificial intelligence has surfaced as a transformative tool able of enhancing internal health care through advanced data- driven methodologies. AI systems can dissect multimodal inputs similar as speech patterns, written textbook, facial expressions, and behavioral data from wearable bias and smartphones to prognosticate emotional countries and identify early pointers of internal health conditions. ways involving machine literacy, natural language processing, emotion discovery, and prophetic analytics enable the development of individualized treatment strategies and AI- supported remedial relations. While AI demonstrates substantial implicit as a form of digital internal health support, significant challenges persist, particularly regarding data sequestration, ethical considerations, and stoner trust. Overall, this review highlights the critical part of AI in advancing internal health diagnostics, monitoring, and personalized remedy, emphasizing both its openings and limitations in ultramodern clinical practice.},
        keywords = {Artificial Intelligence, Mental Health, Machine Learning, NLP, Emotion Recognition, Wearable Bias, AI-Therapy},
        month = {December},
        }