Journal of Medical Internet Research

Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study ...
IEEE

Arabic Sign Language Detection Using MediaPipe and Machine Learning Techniques

Abstract: Arabic Sign Language (ArSL) detection represents an important area of research in assistive communication technology for sign language users. This study investigates a machine learning (ML) ...
IEEE

Arabic Sign Language Recognition for Differently-Abled Individuals Using Vision Transformers and Temporal Analysis

Abstract: This paper introduces an improved Arabic Sign Language Recognition (ArSLR) system that aims to facilitate increased accessibility to communication for the deaf and hard-of-hearing population ...
Journal of Medical Internet Research

Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19

Objective: This study aims to present a comprehensive and automated approach that leverages Large Language Models (LLMs) and Machine Learning (ML) techniques to detect misinformation on social media, ...