From detection to action: Transparency, accuracy, and integration for clinical artificial intelligence in musculoskeletal aging
Ta-Wei Tai, Dung Van Tran · 2026
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Description
Artificial intelligence can mine routine medical images for signs of bone and muscle aging, but detection alone does not treat anyone. Ta-Wei Tai and Dung Van Tran wrote an editorial in 2026 opening a special issue on that gap. They point to a study that screened nearly two thousand hip images from routine care in Vietnam. The system, built in Taiwan, found osteoporosis risk in people who might never be screened.
Four papers in the issue cover muscle checks after hip fracture, chest-image screening, spinal fracture detection, and knee arthritis grading. The editors warn that a high accuracy score does not prove a test helps patients. Clinicians need thresholds, error costs, and a clear next step before acting on AI output.
Catalog record
| CREATOR | Ta-Wei Tai, Dung Van Tran |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 9 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |