2 citations · 5 across the 4 of their papers we have counts for
6 papers
PsychiatryBench: A Multi-Task Benchmark for LLMs in Psychiatry
Aya E. Fouda, Abdelrahamn A. Hassan, Radwa J. Hanafy +1
Large language models (LLMs) offer significant potential in enhancing psychiatric practice, from improving diagnostic accuracy to streamlining clinical documentation and therapeuti…
Leveraging Embedding Techniques in Multimodal Machine Learning for Mental Illness Assessment
Abdelrahaman A. Hassan, Abdelrahman A. Ali, Aya E. Fouda +2
The increasing global prevalence of mental disorders, such as depression and PTSD, requires objective and scalable diagnostic tools. Traditional clinical assessments often face lim…
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context
Noureldin Zahran, Aya E. Fouda, Radwa J. Hanafy +1
Mental health disorders pose a growing public health concern in the Arab world, emphasizing the need for accessible diagnostic and intervention tools. Large language models (LLMs)…
Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models
Abdelrahaman A. Hassan, Radwa J. Hanafy, Mohammed E. Fouda
The growing prevalence and complexity of mental health disorders present significant challenges for accurate diagnosis and treatment, particularly in understanding the interplay be…
Leveraging Audio and Text Modalities in Mental Health: A Study of LLMs Performance
Abdelrahman A. Ali, Aya E. Fouda, Radwa J. Hanafy +1
Mental health disorders are increasingly prevalent worldwide, creating an urgent need for innovative tools to support early diagnosis and intervention. This study explores the pote…
A Comprehensive Evaluation of Large Language Models on Mental Illnesses
Abdelrahman Hanafi, Mohammed Saad, Noureldin Zahran +2
Large Language Models (LLMs) have shown promise in various domains, including healthcare, with significant potential to transform mental health applications by enabling scalable an…