🩺 AI should support clinical judgment in osteoporosis
🩺 AI should support clinical judgment in osteoporosis
A first Asia-Pacific consensus on AI in osteoporosis produced 12 consensus statements recommending AI as an adjunct for opportunistic screening — not a standalone diagnostic tool — to help address widespread underdiagnosis where DXA access is limited. The paper concludes that appropriately validated, transparent AI could identify high-risk patients earlier, but should complement standard diagnostics and clinical judgment rather than replace them.
Why It Matters To Your Practice
Osteoporosis remains underdiagnosed and undertreated across much of the Asia-Pacific region, in part because DXA access is limited.
AI may help flag patients at high fracture risk during routine care, creating opportunities for earlier workup and treatment.
For clinicians, the key message is practical: AI can extend screening reach, but only if tools are validated and used within established care pathways.
Clinical Implications
Use AI for opportunistic screening and risk stratification, not as a replacement for diagnostic standards.
Confirm AI-flagged findings with appropriate imaging, clinical assessment, and guideline-based evaluation.
Expect minimum standards around image quality, model transparency, performance reporting, and real-world validation before adoption.
Implementation should include clinician training, monitoring, feedback loops, and post-market surveillance.
Insights
The consensus emphasizes that unvalidated AI could worsen inconsistency in care rather than reduce it.
Recommendations also address ethics, data protection, and equity — especially important in settings with uneven access to imaging and digital infrastructure.
Regional adaptation matters: tools should fit local regulations, fracture registry data, and healthcare workflows.
The Bottom Line
AI could help narrow the osteoporosis care gap by finding patients who might otherwise be missed.
But the safest near-term role is decision support: AI should support, not supplant, clinician judgment in osteoporosis care.