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Zimmer Biomet announced a new study that shows SynTuition, the company’s machine learning–based diagnostic tool, significantly improves the accuracy and confidence of diagnosing periprosthetic joint infection (PJI) after hip or knee replacement surgery.
The study shows that SynTuition can help address this longstanding challenge by giving surgeons and infectious disease specialists a clearer, more reliable picture earlier in the diagnostic process. The study compared SynTuition’s performance with diagnoses made by 12 experienced physicians who evaluated 274 real world clinical cases. SynTuition uses patterns in synovial fluid biomarkers to calculate a probability score indicating the likelihood of infection.
Key findings include:
- Higher overall accuracy: SynTuition achieved an overall agreement on diagnoses from experts 96% of the time — better than the pooled physician group, which achieved 90.8% accuracy.
- More certainty in difficult cases: When cases were labeled inconclusive under current diagnostic criteria, physicians remained uncertain 38% to 48% of the time. SynTuition provided a definitive answer for all cases and correctly classified 86.7% of them.
- Addresses risk of unnecessary surgery: By improving diagnostic clarity, SynTuition could reduce unnecessary revision procedures by four to 11 surgeries per 100 patients.
Using economic modeling, the study found that:
- Physicians using current approaches would be expected to generate $6.9 million in misdiagnosis-related costs per 1,000 suspected PJI cases.
- SynTuition would reduce that total to $2.9 million, a savings of $4 million per 1,000 suspected PJI cases.
- On average, that is an estimated $4,000 in potential savings per patient evaluated for suspected infection.
In January, a new Proprietary Laboratory Analysis (PLA) code for SynTuition was added to the CPT code set, marking the first code of its kind for AI‑driven joint infection analysis. The code is now active, with reimbursement rates expected to be finalized by the Centers for Medicare & Medicaid Services in the near future.
The Synovasure Comprehensive PJI Test Panel measures 11 synovial fluid biomarkers from a single sample to aid in the diagnosis of PJI. SynTuition is an AI-generated PJI score that integrates results from the Synovasure Comprehensive PJI Test Panel to produce a single probability of infection. The algorithm does not rely on culture results, enabling faster, data-driven insights to support clinical decision making. Launched in June 2025, SynTuition has been used to aid in the testing of more than 20,000 joint implant patients.
“The Synovasure Comprehensive PJI Test Panel with SynTuition is a smart and reliable support for PJI diagnosis that also provides significant potential cost savings for the health care system,” said Lou Galrao, President of Reconstruction – Knees and Hips for Zimmer Biomet. “SynTuition improves safety, efficiency and outcomes in joint replacement surgery by simplifying PJI diagnosis3 and giving surgeons a clear, actionable answer — even in the hardest cases.”
Source: Zimmer Biomet
Zimmer Biomet announced a new study that shows SynTuition, the company’s machine learning–based diagnostic tool, significantly improves the accuracy and confidence of diagnosing periprosthetic joint infection (PJI) after hip or knee replacement surgery.
The study shows that SynTuition can help address this longstanding challenge by giving...
Zimmer Biomet announced a new study that shows SynTuition, the company’s machine learning–based diagnostic tool, significantly improves the accuracy and confidence of diagnosing periprosthetic joint infection (PJI) after hip or knee replacement surgery.
The study shows that SynTuition can help address this longstanding challenge by giving surgeons and infectious disease specialists a clearer, more reliable picture earlier in the diagnostic process. The study compared SynTuition’s performance with diagnoses made by 12 experienced physicians who evaluated 274 real world clinical cases. SynTuition uses patterns in synovial fluid biomarkers to calculate a probability score indicating the likelihood of infection.
Key findings include:
- Higher overall accuracy: SynTuition achieved an overall agreement on diagnoses from experts 96% of the time — better than the pooled physician group, which achieved 90.8% accuracy.
- More certainty in difficult cases: When cases were labeled inconclusive under current diagnostic criteria, physicians remained uncertain 38% to 48% of the time. SynTuition provided a definitive answer for all cases and correctly classified 86.7% of them.
- Addresses risk of unnecessary surgery: By improving diagnostic clarity, SynTuition could reduce unnecessary revision procedures by four to 11 surgeries per 100 patients.
Using economic modeling, the study found that:
- Physicians using current approaches would be expected to generate $6.9 million in misdiagnosis-related costs per 1,000 suspected PJI cases.
- SynTuition would reduce that total to $2.9 million, a savings of $4 million per 1,000 suspected PJI cases.
- On average, that is an estimated $4,000 in potential savings per patient evaluated for suspected infection.
In January, a new Proprietary Laboratory Analysis (PLA) code for SynTuition was added to the CPT code set, marking the first code of its kind for AI‑driven joint infection analysis. The code is now active, with reimbursement rates expected to be finalized by the Centers for Medicare & Medicaid Services in the near future.
The Synovasure Comprehensive PJI Test Panel measures 11 synovial fluid biomarkers from a single sample to aid in the diagnosis of PJI. SynTuition is an AI-generated PJI score that integrates results from the Synovasure Comprehensive PJI Test Panel to produce a single probability of infection. The algorithm does not rely on culture results, enabling faster, data-driven insights to support clinical decision making. Launched in June 2025, SynTuition has been used to aid in the testing of more than 20,000 joint implant patients.
“The Synovasure Comprehensive PJI Test Panel with SynTuition is a smart and reliable support for PJI diagnosis that also provides significant potential cost savings for the health care system,” said Lou Galrao, President of Reconstruction – Knees and Hips for Zimmer Biomet. “SynTuition improves safety, efficiency and outcomes in joint replacement surgery by simplifying PJI diagnosis3 and giving surgeons a clear, actionable answer — even in the hardest cases.”
Source: Zimmer Biomet
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JV
Julie Vetalice is ORTHOWORLD's Editorial Assistant. She has covered the orthopedic industry for over 20 years, having joined the company in 1999.
