Artificial intelligence in bone health has moved well beyond early rules-based scoring.
This workshop walks through that evolution: how AI-powered approaches to osteoporosis management have advanced from classical machine learning toward more sophisticated models, and what that progression actually means for the clinicians using these tools day to day.
The session looks at the latest guidelines for applying TBS in fracture-risk assessment and osteoporosis management, and explores how AI can support the full clinical workflow — from prevention and screening through treatment and ongoing monitoring, not just a single diagnostic moment.
About this video
What you'll learn
It's a useful overview for clinicians who want to understand where AI genuinely adds value in osteoporosis care, rather than treating it as a buzzword layered on top of existing practice.
Featuring
Prof. Karen Hind
VP of Clinical Affairs, Research & Innovation, Medimaps
Guillaume Gatineau, Ph.D
Ph.D candidate in Life Sciences and Data Scientist at Medimaps
