Zimmer Biomet debuts artificial intelligence model to predict gait speed after THA, TKA
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At the American Academy of Orthopaedic Surgeons Annual Meeting, Zimmer Biomet announced the debut of the WalkAI, a model that helps identify patients with a lower gait speed outcome at 90 days after hip or knee surgery.
WalkAI, which adds predictive analytic capabilities to Zimmer Biomet’s ZBEdge technology, offers surgeons data-driven guidance to identify patients with lagging gait speed during their recovery from total hip arthroplasty or total knee arthroplasty, according to the release.
“Using a proprietary, Zimmer Biomet-developed artificial intelligence [AI] algorithm, WalkAI is the orthopedic industry's first and only AI-based model to create daily, personalized predictions and identify patients who may be exceptions to typical recovery curves in an effort to help surgeons mitigate or minimize poor outcomes,” Liane Teplitsky, president of Global Robotics and Technology and Data Solutions at Zimmer Biomet, said in the release. “WalkAI is built from our wealth of anonymized ZBEdge data and is the first model to demonstrate our unique capability to deliver actionable predictions by connecting real-world data and AI through ZBEdge products and experiences.”
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