Summaries of Must-Read Clinical Literature, Guidelines, and FDA Actions

AI could identify fracture risk

Publish date:: April 13, 2020

Key clinical point: Identifying first-time fractures could flag patients who might benefit from treatment.

Major finding: Use of an artificial intelligence tool led to a 3.5-fold increase in identified treatment candidates.

Study details: An internal analytical (2,878 reports) and clinical (5,089) validation of the XRAIT software, and an external validation in an adjudicated cohort (327) from an ongoing longitudinal study.

Disclosures: The Sydney Partnership for Health, Education, Research and Enterprise, and the Musculoskeletal Consumer Advisory Group funded the study. The researchers reported no financial conflicts of interest, as did Dr. Cheung.

Citation:

Kolanu N et al. ENDO 2020, Abstract OR29-02.

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