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Exactech has introduced groundbreaking research showcasing the application of AI and radiomic analyses in shoulder arthroplasty. The Gainesville-based company presented its findings at the Congress of International Society for Technology in Arthroplasty in Nashville, Tennessee. This research utilized machine learning techniques to analyze CT images and patient demographics, identifying muscle classifications that can predict clinical outcomes.
The study involved CT scans from 1,382 patients, revealing five distinct deltoid clusters linked to motion levels before and after surgery. Exactech's advancements also include new technologies for knee and ankle surgeries, emphasizing the integration of AI in developing clinical decision support tools. This commitment to orthopedic science aims to transform surgical practices and improve patient outcomes.
• Exactech demonstrates AI's potential in predicting clinical outcomes for shoulder surgeries.
• New AI-driven technologies enhance decision-making in orthopedic surgeries.
This technique is applied in the study to analyze CT scans for predicting clinical outcomes in shoulder arthroplasty.
In this research, machine learning techniques were used to aggregate radiomic data with patient demographics.
This method was utilized to identify distinct deltoid muscle classifications from the CT scans.
The company is at the forefront of integrating AI into orthopedic science to enhance surgical outcomes.
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