Einas Yousef
Biographic Data
| ID | 7719617 |
|---|---|
| NAME | Einas Yousef |
| GIVEN NAMES | Einas |
| FAMILY NAME | Yousef |
| SIGNATURE | YOUSEF E |
| AFFILIATIONS | Alfaisal University |
| ORCID | 0000-0002-8935-0183 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Large language models in medical education
Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their performance in basic medical sciences remains incompletely characterized. Medical histology, requiring factual knowledge and interpretative skills, provides a unique domain for evaluating AI capabilities in medical education. To evaluate and compare the performance of five current LLMs: GPT-4.1, Claude 3.7 Sonnet, Gemini 2.0 Flash, Copilot, and De…
Effect of instructional guidelines on perceived social support level and caregivers' burden of patients having colorectal cancer
Background: Colorectal cancer is a major health risk globally and ranks among the top causes of morbidity and mortality among cancer patients. The adverse impact experienced by caregivers, such as cancer caring burden, reduced free time, and insufficient rest time, could bring both physical and psychological burdens to cancer caregivers. Therefore, the study aimed to evaluate the effect of instructional guidelines on perceived social support leve…
No prominent works on this page.
Effect of instructional guidelines on perceived social support level and caregivers' burden of patients having colorectal cancer
Background: Colorectal cancer is a major health risk globally and ranks among the top causes of morbidity and mortality among cancer patients. The adverse impact experienced by caregivers, such as cancer caring burden, reduced free time, and insufficient rest time, could bring both physical and psychological burdens to cancer caregivers. Therefore, the study aimed to evaluate the effect of instructional guidelines on perceived social support leve…
Large language models in medical education
Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their performance in basic medical sciences remains incompletely characterized. Medical histology, requiring factual knowledge and interpretative skills, provides a unique domain for evaluating AI capabilities in medical education. To evaluate and compare the performance of five current LLMs: GPT-4.1, Claude 3.7 Sonnet, Gemini 2.0 Flash, Copilot, and De…
Medicine (2 works) · AI in cancer detection (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Cancer (1 work) · Cancer survivorship and care (1 work) · Chronic Disease Management Strategies (1 work) · Colorectal cancer (1 work) · Computer Science (1 work) · Health, psychology, and well-being (1 work) · Internal Medicine (1 work)