Defining Medical AI Competencies for Medical School Graduates
Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools
Bibliographic Data
Developmental psychology · Medical education · Psychiatry · Psychosocial · School health · Clinical Psychology · HIV/AIDS Impact and Responses · Medicine · Poverty, Education, and Child Welfare · Psychology · Gerontology
Breaking down the wall of silence around children affected by Aids in Thailand to support their psychosocial health
The attitudes of primary schoolchildren in Northern Thailand towards their peers who are affected by HIV and Aids
Exploring medical Artificial Intelligence Readiness among Korean medical students
Integrating Generative Artificial Intelligence Into Medical Education
Theorizing AI literacy development using Habermas' three cognitive knowledge interests from a systematic review
Twelve tips for developing and implementing AI curriculum for undergraduate medical education
A critical review of the Delphi technique as a research methodology for nursing
Analyzing and Interpreting Data From Likert-Type Scales
Competency-based medical education
Viewpoint
Defining consensus
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
High-performance medicine
Artificial intelligence in medical education
Cutoff criteria for fit indexes in covariance structure analysis
Likert scales, levels of measurement and the “laws” of statistics
A Quantitative Approach to Content Validity 1
Using consensus group methods such as Delphi and Nominal Group in medical education research
Consensus measurement in Delphi studies
Exploratory Factor Analysis
Alternative Ways of Assessing Model Fit
| Unique citing works | 6 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 2010 - 2026 (17) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |