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Clinical Implementation of Opportunistic Screening for Osteoporosis
Siddhant Dogra1, Olivia Bussey1,2, Bari Dane1
1Department of Radiology, NYU Grossman School of Medicine, 660 First Avenue, New York, NY, USA 10016.
AJR. American Journal of Roentgenology
|June 17, 2026
Summary
Opportunistic screening uses routine imaging to find disease biomarkers with AI. A practical framework guides implementation across stakeholder groups for successful clinical translation.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Healthcare
- Clinical Implementation Science
Background:
- Opportunistic screening utilizes existing imaging for biomarker extraction.
- Artificial intelligence (AI) enhances the feasibility of large-scale deployment.
- The transition from validated algorithms to clinical programs is challenging.
Purpose of the Study:
- To present a practical framework for implementing opportunistic screening programs.
- To guide coordinated engagement among radiologists, IT, and clinical teams.
- To facilitate the clinical translation of AI-driven screening tools.
Main Methods:
- Development of a framework based on stakeholder engagement (radiologists, IT, clinical teams).
- Application of the framework to opportunistic CT osteoporosis screening.
- Leveraging experience from a large academic medical center implementation.
Main Results:
- A structured approach is necessary for successful opportunistic screening deployment.
- The framework addresses distinct decisions for different stakeholder groups.
- Successful implementation ensures reliable function and patient benefit.
Conclusions:
- The proposed framework provides a roadmap for opportunistic screening implementation.
- It is broadly applicable to various opportunistic screening applications.
- The framework supports the field's move toward clinical translation of AI tools.
