This research explores how Large Language Models can be utilized to detect mental health issues through social media data analysis, creating new opportunities for early intervention.

• Assesses LLMs' capability to identify common psychological disorders including depression, anxiety, and psychotic disorders
• Examines specialized techniques for analyzing social media content as mental health indicators
• Addresses challenges and ethical considerations in applying AI to sensitive mental health data
• Proposes frameworks for responsible implementation in clinical support settings

This research is significant for healthcare as it provides new pathways to identify at-risk individuals earlier, potentially enabling more timely intervention when traditional healthcare touchpoints fail.

A Survey of Large Language Models in Mental Health Disorder Detection on Social Media