Exactech Launches Next Generation of Predict+ Machine Learning Tool

Exactech debuted the next generation of Predict+, an evidence-based clinical decision support tool that leverages clinical outcomes data, CT images and machine learning algorithms to deliver patient-specific outcome predictions for anatomic and reverse total shoulder arthroplasty.

The latest iteration of Predict+, available now in Europe and Australia, is fully integrated into the most recent version of the Shoulder Planning App, which now features osteophyte removal tools, automated joint measurements and an improved user interface.

The integration of Predict+ transforms clinical decision-making by streamlining the process and reducing manual inputs. This advanced clinical outcomes-based decision support tool enables greater personalization of machine learning-based predictions by automatically incorporating multiple patient-specific inputs directly from the Shoulder Planning App, including joint measurements and several implant size and type selection details.

Being able to accurately show patients the clinical outcomes that they can achieve, from short-term to long-term, helps both the surgeon and patient align on what to expect after shoulder arthroplasty. This enhanced alignment of actual and expected results should improve patient satisfaction with treatment.

Predict+ has not received FDA marketing authorization.

Exactech Senior Vice President of Extremities Chris Roche said, “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 personalization of the predicted outcomes. We are proud to be setting the standard and advancing patient care like never before.”

Source: Exactech