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AI-Enhanced Risk Identification

Closing the Osteoporosis Care Gap in Fracture Prevention

Friday, October 09, 2026

CME Satellite Symposium at the ASBMR, John B. Hynes Veterans Memorial Convention Center

Boston, Massachusetts

Despite well-established clinical guidelines and the availability of effective therapies, osteoporosis remains substantially underdiagnosed and undertreated, particularly among patients at very high fracture risk (VHFR). This activity will examine the persistent gaps between evidence and practice by exploring the impact of implicit, omission, gender, and system-level biases on fracture prevention and treatment decisions, as well as the behavioral and healthcare system factors that contribute to missed opportunities for diagnosis and intervention. Faculty will discuss practical, evidence-based strategies to improve guideline implementation, optimize post-fracture care, and increase appropriate treatment of patients at greatest risk for future fractures.

The activity will also explore the emerging role of artificial intelligence (AI) and digital health technologies in closing the osteoporosis care gap. Participants will review current evidence supporting AI-enhanced fracture risk prediction, opportunistic screening, and digital tools that identify underdiagnosed and undertreated patients. The session will highlight practical applications of electronic medical record (EMR)-integrated clinical decision support systems and digital fracture liaison service (FLS) models, while addressing current limitations, implementation challenges, and future directions for integrating AI into osteoporosis care to improve clinical decision-making and patient outcomes.

Schedule

* Times are EST
12:15 PM Registration and Boxed Lunches
12:30 PM Beyond the Guidelines: Why Patients at Very High Fracture Risk Remain Untreated

Michael Cabana, MD, MPH

Michael I. Cohen, MD University Chair
Department of Pediatrics
Albert Einstein College of Medicine
Physician-in-Chief
The Children’s Hospital at Montefiore (CHAM)
Bronx, NY
Author of the Cabana Framework of Improvement “Why don’t physicians follow clinical practice guidelines?”

12:50 PM Can Artificial Intelligence and Digital Tools Help Close the Osteoporosis Care Gap?

Nicholas Fuggle, MBBS, BSc, MRCP, PGCert, HBE, PhD

Associate Professor in Rheumatology
University of Southampton
Honorary Consultant Rheumatologist, University Hospitals Southampton
Co-Organizer, Clinical AI Interest Group at the Alan Turing Institute
Southampton, UK

01:15 PM Key Takeaways, Closing Comments, and Audience Q&A
01:30 PM Adjourn and Online Evaluation

Accreditation

EXCEL Continuing Education is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

EXCEL Continuing Education designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credits. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Canadian CME: Through an agreement between the ACCME and the Royal College of Physicians and Surgeons of Canada, medical practitioners participating in the Royal College MOC Program may record completion of accredited activities registered under the ACCME’s “CME in Support of MOC” program in Section 3 of the Royal College’s MOC Program.

The UEMS-EACCME®: European Union of Medical Specialists and European Accreditation Council for CME have mutual recognition agreements with the American Medical Association for live events and e-learning materials. European physicians can earn their ECMEC®s (European CME credits) by either attending a live presentation approved by an ACCME accredited provider such as EXCEL or participating in e-learning activities (on-demand webcasts) from accredited providers from the USA that have been certified for AMA PRA Category 1 Credits™.

Physician assistants, nurse practitioners, and nurses may participate in this educational activity and earn a certificate of completion as AAPA, AANP, and ANCC accept AMA PRA Category 1 Credits TM through their reciprocity agreements.

Educational Objectives

At the conclusion of this conference, you should be able to:
  • Analyze persistent gaps in osteoporosis diagnosis, fracture risk assessment, and treatment implementation despite the availability of evidence-based clinical guidelines
  • Evaluate clinical and imaging-based predictors of fracture risk beyond bone mineral density, including emerging approaches to identification of patients at high fracture risk
  • Apply evidence-based strategies to improve guideline adherence, strengthen secondary fracture prevention efforts, and optimize treatment selection in patients at high fracture risk
  • Assess the role of artificial intelligence and digital health technologies in opportunistic osteoporosis screening, fracture prediction, clinical decision support, and identification of patients who may otherwise remain undiagnosed or undertreated

Supporter

UCB PHARMACEUTICALS