Jeongah Song
Biographic Data
| ID | 10401457 |
|---|---|
| NAME | Jeongah Song |
| GIVEN NAMES | Jeongah |
| FAMILY NAME | Song |
| SIGNATURE | SONG J |
| AFFILIATIONS | Ulsan College |
| ORCID | 0000-0002-8640-3294 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Feasibility and psychometric evaluation of large language model–generated radiology learning materials for board examination preparation
BACKGROUND: Large language models (LLMs) can generate structured educational content at scale, yet their role in postgraduate radiology training remains untested. METHODS: This pilot study evaluated the feasibility of deploying LLM-generated radiology board preparation materials, the psychometric properties of adapted survey instruments, and exploratory effect-size estimates for sample-size planning of a future multicentre trial. We conducted a p…
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Feasibility and psychometric evaluation of large language model–generated radiology learning materials for board examination preparation
BACKGROUND: Large language models (LLMs) can generate structured educational content at scale, yet their role in postgraduate radiology training remains untested. METHODS: This pilot study evaluated the feasibility of deploying LLM-generated radiology board preparation materials, the psychometric properties of adapted survey instruments, and exploratory effect-size estimates for sample-size planning of a future multicentre trial. We conducted a p…
Artificial Intelligence in Healthcare and Education (1 work) · Content validity (1 work) · Educational measurement (1 work) · Innovations in Medical Education (1 work) · Internal consistency (1 work) · MEDLINE (1 work) · Observational study (1 work) · Psychometrics (1 work) · Radiology practices and education (1 work)