Mental Health Care

Mental health care research is increasingly leveraging artificial intelligence, particularly large language models (LLMs) and machine learning, to improve access, efficiency, and effectiveness of treatment. Current efforts focus on developing and evaluating LLMs for tasks such as automated question answering, mental health triage, and even providing basic emotional support, often utilizing techniques like fine-tuning and prompting to enhance performance. These advancements aim to address the growing global mental health crisis by expanding access to care, particularly in underserved populations, and improving the efficiency of clinical workflows, though rigorous evaluation and ethical considerations remain crucial.