首页|Arthrex Reports Findings in Arthroplasty (Machine learning models can define cli nically relevant bone density subgroups based on patient-specific calibrated com puted tomography scans in patients undergoing reverse shoulder arthroplasty)
Arthrex Reports Findings in Arthroplasty (Machine learning models can define cli nically relevant bone density subgroups based on patient-specific calibrated com puted tomography scans in patients undergoing reverse shoulder arthroplasty)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Arthroplasty is the subject of a report. According tonews reporting out of Munich, Germany, by NewsRx editors, research stated, “Reduced bone density isrecognized as a pr edictor for potential complications in reverse shoulder arthroplasty (RSA). Whil e humeraland glenoid planning based on preoperative computed tomography (CT) sc ans assist in implant selectionand position, reproducible methods for quantifyi ng the patients’ bone density are currently not available.”
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