Artificial intelligence for opportunistic screening of osteoporosis across multiple imaging modalities: a systematic review
Xiang Chen, Wanling Wu, Jianying Shen, Yuyan Chen · 2026
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Description
Chen and colleagues present a 2026 systematic review of artificial intelligence for spotting osteoporosis in scans taken for other reasons. Bone thinning often goes undetected until a fracture, and the standard bone density test is hard to access. Opportunistic screening lets AI read routine images for bone health at no extra scan cost. The team followed standard review methods across three databases to February 2026.
Fifty-seven studies were included, most of them retrospective and from single centers. CT scans were the most used image source, with models judged mainly by discrimination scores for osteoporosis, low bone mass, and fracture risk. The review also mapped why results vary so much between studies. The pattern is promising but immature: before hospitals trust AI bone checks on every scan, the field needs shared standards and prospective, multi-center proof.
Catalog record
| CREATOR | Xiang Chen, Wanling Wu, Jianying Shen, Yuyan Chen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 78 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |