Akef Obeidat
Biographic Data
| ID | 7970128 |
|---|---|
| NAME | Akef Obeidat |
| GIVEN NAMES | Akef |
| FAMILY NAME | Obeidat |
| SIGNATURE | OBEIDAT A |
| AFFILIATIONS | Alfaisal University |
| ORCID | 0000-0002-4666-5118 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Agreement, calibration, and failure of three large language models as high-stakes multimodal ospe graders
Background Medical education faces increasing demand for scalable grading solutions. Large language models have been proposed as automated graders for high-stakes assessments, but evidence for their reliability in multimodal practical examinations remains limited.Methods This retrospective inter-rater reliability study compared three LLMs: ChatGPT-4o, Gemini 2.5 Flash, and Claude 3.5 Haiku with original human reference scores on 19 integrated ana…
Assessing the prevalence of generalized anxiety disorder in a multicultural medical education setting in Saudi Arabia during the Covid-19 pandemic
Introduction Mental health among medical students is an area that has been increasingly garnering world-wide attention. Yet, despite this increased attention, research related to anxiety disorders in Saudi Arabia remain limited. This study aims to address this gap by assessing the prevalence of generalized anxiety disorder (GAD) as well as explore its association with students’ sociodemographic factors and academic performance among medical stude…
No prominent works on this page.
Assessing the prevalence of generalized anxiety disorder in a multicultural medical education setting in Saudi Arabia during the Covid-19 pandemic
Introduction Mental health among medical students is an area that has been increasingly garnering world-wide attention. Yet, despite this increased attention, research related to anxiety disorders in Saudi Arabia remain limited. This study aims to address this gap by assessing the prevalence of generalized anxiety disorder (GAD) as well as explore its association with students’ sociodemographic factors and academic performance among medical stude…
Agreement, calibration, and failure of three large language models as high-stakes multimodal ospe graders
Background Medical education faces increasing demand for scalable grading solutions. Large language models have been proposed as automated graders for high-stakes assessments, but evidence for their reliability in multimodal practical examinations remains limited.Methods This retrospective inter-rater reliability study compared three LLMs: ChatGPT-4o, Gemini 2.5 Flash, and Claude 3.5 Haiku with original human reference scores on 19 integrated ana…
Anxiety (1 work) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Categorical variable (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Correlation (1 work) · COVID-19 and Mental Health (1 work)