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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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Total Authors : 22487
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| Paper Title: | Mental Health Meets Machine Learning: The Rise of Chatbots and LLMs in Therapy |
| Authors Name: | Anjali Karki , Chaitanya Kamble , Ruturaj Chavan , Nilima Chapke |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_203281
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| Published Paper Id: | IJRTI2505021 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i5.203281 |
| Abstract: | The global mental health issue, which affects roughly a billion people worldwide, has outgrown our ability to offer effective care using traditional approaches alone. This research investigates the rising role of Large Language Models (LLMs) and chatbots as potential solutions to the treatment gap. We conduct a comprehensive literature study to determine how these technologies are transforming mental healthcare delivery in different dimensions. Our findings show that improved LLMs exhibit near-human empathy in controlled evaluations while providing unparalleled accessibility through 24/7 availability and lower stigma barriers. While these AI technologies show promising clinical efficacy for mild to moderate illnesses, they have considerable limitations in terms of contextual knowledge and cultural adaptability. The most successful implementations position these technologies not as replacements for human clinicians but as complementary components within stepped-care approaches. This integration has the ability to increase scarce clinical resources while preserving quality requirements. As mental health chatbots evolve rapidly, their deliberate creation and deployment could be one of the most significant achievements in democratizing access to mental healthcare in the digital age. |
| Keywords: | Mental Health, Large Language Models, Chat- bots, AI Ethics, Digital Therapeutics, Accessibility, Privacy, Virtual Therapy, AI Regulation, Therapeutic Alliance |
| Cite Article: | "Mental Health Meets Machine Learning: The Rise of Chatbots and LLMs in Therapy", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a190-a194, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505021.pdf |
| Downloads: | 000610 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505021
Registration ID:203281
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i5.203281
Page No: a190-a194 Country: Pune, Maharashtra , India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505021 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505021 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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