Ahmed Yaqinuddin
Biographic Data
| ID | 7719618 |
|---|---|
| NAME | Ahmed Yaqinuddin |
| GIVEN NAMES | Ahmed |
| FAMILY NAME | Yaqinuddin |
| SIGNATURE | YAQINUDDIN A |
| AFFILIATIONS | Alfaisal University |
| ORCID | 0000-0001-7536-910X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Social isolation and anxiety disorders during Covid-19
Background: This systematic review examines the relationship between prolonged social isolation during the COVID-19 pandemic and anxiety levels in adults, with specific focus on social anxiety. It highlights that enforced distancing measures like lockdowns and reduced social contact significantly contributed to a global rise in psychological distress and anxiety disorders. Objective: To synthesize recent evidence on how social isolation influence…
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…
No prominent works on this page.
Social isolation and anxiety disorders during Covid-19
Background: This systematic review examines the relationship between prolonged social isolation during the COVID-19 pandemic and anxiety levels in adults, with specific focus on social anxiety. It highlights that enforced distancing measures like lockdowns and reduced social contact significantly contributed to a global rise in psychological distress and anxiety disorders. Objective: To synthesize recent evidence on how social isolation influence…
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…
AI in cancer detection (1 work) · Anxiety (1 work) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Loneliness (1 work) · Long-Term Effects of COVID-19 (1 work) · Mathematics education (1 work) · Medical education (1 work)