Radiology AI developer AZmed has received an expanded U.S. Food and Drug Administration clearance for its Rayvolve AI Suite, broadening the AZtrauma module to flag joint effusions and dislocations in addition to fractures on X-rays. The clearance, announced alongside partner RADIN Health, covers both adult and pediatric patients aged two and older.
A broader trauma toolkit
The update marks AZmed's third FDA clearance for the AZtrauma module. With the expansion, the company says AZtrauma is now the only FDA-cleared AI solution in the United States to cover all three pathologies, fractures, joint effusions and dislocations, on plain radiographs. Joint effusions and dislocations are easy to overlook on busy emergency-department worklists, and automated detection is intended to act as a second set of eyes for clinicians.
Reported performance
According to data cited with the clearance, the software posted a 98.3 percent area under the curve (AUC) overall, with sensitivity of 97.4 percent and specificity of 96.4 percent. For joint effusions specifically, the company reported a 97.5 percent AUC, 96.1 percent sensitivity and 98.8 percent specificity. Such metrics are central to how regulators and hospitals evaluate diagnostic AI before deployment.
Workflow and adoption
The clearance expands a strategic partnership between RADIN Health and AZmed aimed at streamlining radiology workflows. Alejandro Bugnone, a musculoskeletal radiologist and chief executive of RADIN Health, welcomed the expanded capabilities as a way to support faster, more consistent reads. The number of AI-enabled medical devices cleared for radiology has surged past 1,000, underscoring how central machine learning has become to medical imaging.
Part of a wider clinical AI wave
The approval adds to a growing list of regulated clinical tools, mirroring momentum elsewhere in medical technology such as expanded clearances for surgical robotics platforms and breakthroughs in robot-assisted cancer surgery. Hospitals worldwide are pairing these advances with new procedures, including robot-assisted cardiac operations, as automation and AI move deeper into frontline diagnostics and care.
Reporting based on coverage from Diagnostic Imaging and PR Newswire. Image: illustrative radiograph via Wikimedia Commons.