US-based medical technology firm Exactech has launched the latest version of Predict+, an advanced clinical decision support tool for predictive outcomes in shoulder replacement surgery.
The upgraded tool, now available in Europe and Australia, uses clinical outcomes data, CT images, and machine learning to provide patient-specific predictions for anatomic and reverse total shoulder arthroplasty.
Predict+ is now integrated into the updated Shoulder Planning App, which includes new features such as osteophyte removal tools, automated joint measurements, and a refined user interface. This integration aims to streamline clinical decision-making by reducing manual inputs.
Exactech extremities senior vice president Chris Roche said: “Exactech is leading the industry in AI orthopaedic applications, and we are proud to release the next generation of Predict+, the world’s first machine learning based clinical decision support tool for shoulder arthroplasty.
“We originally developed this evidence-based tool in 2020 to help surgeons more accurately predict the improvement that an individual patient could achieve after anatomic and reverse total shoulder arthroplasty.
“The next generation of Predict+ further advances the preoperative consultation process by seamlessly incorporating additional patient-specific inputs directly from the Shoulder Planning App to improve the personalisation of the predicted outcomes. We are proud to be setting the standard and advancing patient care like never before.”
By accurately presenting potential clinical outcomes, Predict+ aids in aligning surgeon and patient expectations, potentially enhancing patient satisfaction with shoulder arthroplasty treatments, said the company.
Northampton General Hospital consultant orthopaedic surgeon Malin Wijeratna said: “I have used Predict+ for many patients and find it to be very accurate in giving patients a realistic expectation of what improvements they can aim for after their shoulder replacement.
“The integration of CT planning into the Predict+ software streamlines my clinical workflow and will enable surgeons to offer truly individualised outcomes, and I see it becoming an integral part of the decision-making process with patients.”
Exactech machine learning vice president Vikas Kumar said: “By integrating Predict+ into the preoperative planning software, Exactech is now able to leverage image data to further personalise each patient’s clinical outcome predictions.
“Image data is essential for comprehensive patient assessment. By combining clinical data with image data, the integration marks a significant evolution for Predict+, one that will improve the quality of outcome predictions over time.”
