Peer-reviewedCC BY-NC-NDOsteoporosis and sarcopenia14 Aug 2026

From underdiagnosis to scalable screening: Applications of artificial intelligence for vertebral compression fracture detection – a systematic review and meta-analysis of diagnostic performance

Hsuan-Yu Chen¹
Linjun Yang¹
Gwen Wilson²
Milos Brkljac¹
Monty S. Khela¹
Kellen L. Mulford¹
Cody C. Wyles¹

¹Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedics, Mayo Clinic, Rochester, MN, USA
²Mayo Clinic Libraries, Mayo Clinic, Rochester, MN, USA

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Cite

BibTeX

@article{chen2026from,
  title = {{From underdiagnosis to scalable screening: Applications of artificial intelligence for vertebral compression fracture detection – a systematic review and meta-analysis of diagnostic performance}},
  author = {Hsuan-Yu Chen and Linjun Yang and Gwen Wilson and Milos Brkljac and Monty S. Khela and Kellen L. Mulford and Cody C. Wyles},
  journal = {Osteoporosis and sarcopenia},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13662877},
  note = {CC BY-NC-ND},
}

RIS

TY  - JOUR
TI  - From underdiagnosis to scalable screening: Applications of artificial intelligence for vertebral compression fracture detection – a systematic review and meta-analysis of diagnostic performance
AU  - Hsuan-Yu Chen
AU  - Linjun Yang
AU  - Gwen Wilson
AU  - Milos Brkljac
AU  - Monty S. Khela
AU  - Kellen L. Mulford
AU  - Cody C. Wyles
PY  - 2026
DA  - 2026/08/14
JO  - Osteoporosis and sarcopenia
UR  - https://europepmc.org/article/PMC/PMC13662877
SN  - 2405-5255
SN  - 2405-5263
ER  -

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