Sami Zaqout
Biographic Data
| ID | 8662656 |
|---|---|
| NAME | Sami Zaqout |
| GIVEN NAMES | Sami |
| FAMILY NAME | Zaqout |
| SIGNATURE | ZAQOUT S |
| AFFILIATIONS | Qatar University |
| ORCID | 0000-0002-3298-4425 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Assessing LLM-generated vs. expert-created clinical anatomy MCQs
Large language models (LLMs) such as ChatGPT and Gemini are increasingly used to generate educational content in medical education, including multiple-choice questions (MCQs), but their effectiveness compared to expert-written questions remains underexplored, particularly in anatomy. We conducted a cross-sectional, mixed-methods study involving Year 2-4 medical students at Qatar University, where participants completed and evaluated three anonymi…
No prominent works on this page.
Assessing LLM-generated vs. expert-created clinical anatomy MCQs
Large language models (LLMs) such as ChatGPT and Gemini are increasingly used to generate educational content in medical education, including multiple-choice questions (MCQs), but their effectiveness compared to expert-written questions remains underexplored, particularly in anatomy. We conducted a cross-sectional, mixed-methods study involving Year 2-4 medical students at Qatar University, where participants completed and evaluated three anonymi…
Anatomy and Medical Technology (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Innovations in Medical Education (1 work) · Medical education (1 work) · Medical physics (1 work) · Medicine (1 work) · Perception (1 work) · Psychology (1 work)