Inthrani Raja Indran
Biographic Data
| ID | 9556802 |
|---|---|
| NAME | Inthrani Raja Indran |
| GIVEN NAMES | Inthrani Raja |
| FAMILY NAME | Indran |
| SIGNATURE | INDRAN I R |
| AFFILIATIONS | National University of Singapore |
| ORCID | 0000-0002-3487-3948 |
| 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 |
Socioeconomic status (SES) and admission in medical school
PURPOSE: Historically, medical students have predominantly come from affluent backgrounds, prompting discussions about the need for greater socioeconomic diversity in physician representation. This diversity is crucial for meeting the healthcare workforce's needs and serving varied communities. Over the past decade, medical schools have introduced initiatives to expand access, including new admission tools and process improvements aimed at foster…
Twelve tips to leverage AI for efficient and effective medical question generation
BACKGROUND: Crafting quality assessment questions in medical education is a crucial yet time-consuming, expertise-driven undertaking that calls for innovative solutions. Large language models (LLMs), such as ChatGPT (Chat Generative Pre-Trained Transformer), present a promising yet underexplored avenue for such innovations. AIMS: This study explores the utility of ChatGPT to generate diverse, high-quality medical questions, focusing on multiple-c…
No prominent works on this page.
Twelve tips to leverage AI for efficient and effective medical question generation
BACKGROUND: Crafting quality assessment questions in medical education is a crucial yet time-consuming, expertise-driven undertaking that calls for innovative solutions. Large language models (LLMs), such as ChatGPT (Chat Generative Pre-Trained Transformer), present a promising yet underexplored avenue for such innovations. AIMS: This study explores the utility of ChatGPT to generate diverse, high-quality medical questions, focusing on multiple-c…
Socioeconomic status (SES) and admission in medical school
PURPOSE: Historically, medical students have predominantly come from affluent backgrounds, prompting discussions about the need for greater socioeconomic diversity in physician representation. This diversity is crucial for meeting the healthcare workforce's needs and serving varied communities. Over the past decade, medical schools have introduced initiatives to expand access, including new admission tools and process improvements aimed at foster…
Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Computer Science (1 work) · Cross-sectional study (1 work) · Data collection (1 work) · Diversity and Career in Medicine (1 work) · Engineering (1 work) · Engineering ethics (1 work)