Background: Large language models (LLMs) are advanced artificial neural networks trained
on extensive datasets to accurately understand and generate natural language. While they …

Online social networks can be used for mental healthcare monitoring using Artificial
Intelligence and Machine Learning techniques for detecting various mental health disorders …

Early identification and prevention of mental health stresses and their outcomes has become
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …

Early diagnosis of mental disorders and intervention can facilitate the prevention of severe
injuries and the improvement of treatment results. This study uses social media and pre …

The emergence of the metaverse, like any other technology, presents both advantages and
disadvantages. On the positive side, it can greatly enhance experiences in gaming …

Large Language Models (LLMs) have become valuable assets in mental health, showing
promise in both classification tasks and counseling applications. This paper offers a …

The recent coronavirus disease (COVID-19) has become a pandemic and has affected the
entire globe. During the pandemic, we have observed a spike in cases related to mental …

Objective The aim of the Social Media Mining for Health Applications (# SMM4H) shared
tasks is to take a community-driven approach to address the natural language processing …

Amid the ongoing mental health crisis, there is an increasing need to discern possible signs
of mental disturbance manifested in social media text. During in-person therapy sessions …

This paper introduces a novel approach GPTFX, an AI-based mental detection with GPT
frameworks. This approach leverages GPT embeddings and the fine-tuning of GPT-3. This …