Year: 2025
Type: article
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.
Authors: Anjali Karki, Chaitanya Kamble, Ruturaj Chavan, Nilima Chapke
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410248176