VIDEO: AI models may make accurate clinical decisions regarding distal radius fractures
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Key takeaways:
- Results showed AI models may accurately decide whether reductions for distal radius fractures are needed.
- This could benefit clinics that do not have an orthopedic surgeon on call.
Results presented at the American Society for Surgery of the Hand Annual Meeting showed deep-learning AI models may be able to make accurate clinical decisions regarding whether reduction is needed for a distal radius fracture.
“In health care settings where there may not be an orthopedic surgeon on call or someone available to do the reduction appropriately, it gives some leeway to practitioners that may not have that that fail safe,” Umar M. Ghilzai, MD, a PGY-3 orthopedic surgery resident at the Baylor College of Medicine, told Healio. “It is an exciting study, and the next directions for this will be to open the doors to how AI could be used in medicine.”
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Ghilzai UM, et al. Paper 14. Presented at: American Society for Surgery of the Hand Annual Meeting; Sept. 19-21, 2024; Minneapolis.
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