AI for clinical prediction

Hybrid statistical and machine learning models, and evidence synthesis

Building and checking prediction models that clinicians can trust.

Hybrid statistical and machine learning models
Ensemble learning with genomic and phenotypic data
Sequential deep learning
Systematic review and meta-analysis of AI for fracture detection

(Wu & Jung, 2025; Jung et al., 2024; Wu et al., 2021)

References

2025

Osteoporos Int

Ensemble-Learning Approach Improves Fracture Prediction Using Genomic and Phenotypic Data

Qing Wu and Jongyun Jung

Osteoporosis International, 2025

DOI Bib HTML

@article{wu2025ensemble,
  title = {Ensemble-Learning Approach Improves Fracture Prediction Using Genomic and Phenotypic Data},
  author = {Wu, Qing and Jung, Jongyun},
  journal = {Osteoporosis International},
  year = {2025},
  doi = {10.1007/s00198-025-07437-w},
}

2024

PLOS Digit Health

Artificial Intelligence in Fracture Detection with Different Image Modalities and Data Types: A Systematic Review and Meta-Analysis

Jongyun Jung, J. Dai, B. Liu, and 1 more author

PLOS Digital Health, 2024

DOI Bib HTML

@article{jung2024aifracture,
  title = {Artificial Intelligence in Fracture Detection with Different Image Modalities and Data Types: A Systematic Review and Meta-Analysis},
  author = {Jung, Jongyun and Dai, J. and Liu, B. and Wu, Qing},
  journal = {PLOS Digital Health},
  year = {2024},
  doi = {10.1371/journal.pdig.0000438},
}

2021

Sci Rep

Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men

Qing Wu, Fatma Nasoz, Jongyun Jung, and 3 more authors

Scientific Reports, 2021

DOI Bib HTML

@article{wu2021bmd,
  title = {Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men},
  author = {Wu, Qing and Nasoz, Fatma and Jung, Jongyun and Bhattarai, Bibek and Greenes, Robert A. and Saag, Kenneth G.},
  journal = {Scientific Reports},
  year = {2021},
  doi = {10.1038/s41598-021-83828-3},
}