Pa Hong, MD 홍파
A thoracic radiologist (CT, X-ray, image-guided lung biopsy) and medical AI researcher with dual licensure in Western and Korean medicine. I work on clinical data-driven AI that solves real problems in radiology practice.
Research
Details →Chest X-ray foundation models
How patient characteristics should be encoded in chest X-ray foundation models for accuracy and fairness.
Quantitative CT & automated measurement
Automated measurement and quantification of cardiovascular and airway findings on routine chest CT.
Medical vision-language models
3D CT/MRI vision-language and prediction models, in collaboration with SNU IMSI Lab (advisor).
LLMs in radiology education
Validating LLM-generated learning materials and multi-LLM pipelines for radiology education.
Systematic review & meta-analysis
Meta-analyses of interventional and diagnostic imaging procedures such as CBCT-guided lung biopsy.
Population imaging cohorts
Large screening cohorts linking incidental chest CT findings to long-term outcomes.
- Oral presentation at RSNA 2026 (Chicago, Dec 3, session R3-SSCH07)
- CHEST: Incidental emphysema on screening chest CT and all-cause mortality (co-corresponding)
- npj Digital Medicine: Human-in-the-loop validation of a multi-LLM education pipeline (co-corresponding)
- Diagn Interv Radiol: Meta-analysis of CBCT-guided lung biopsy (corresponding)
- Reviewer for MICCAI 2026 · Co-author of Medic-AD at CVPR 2026
Chest Radar
A weekly digest of chest imaging AI: key results, what it means in the reading room, limitations, and research seeds.