What is SynTuitionTM?

SynTuition* is the first-of-its-kind application of artificial intelligence (AI) to aid in the diagnosis of Periprosthetic Joint Infection (PJI).  SynTuition uses an algorithm that was developed using unsupervised machine-learning to combine multiple test results to alleviate the need for physicians to interpret multiple test reports, apply and calculate a diagnostic criteria, and diagnosis. SynTuition uses a single aspiration, tested by a single laboratory, to provide enhanced results for PJI.

SynTuition brings together the results for 11 analytes and assesses not only their individual results, but the interaction with other analytes. Included are:

  • Synovasure® Alpha Defensin
  • Synovasure® Microbial Identification* (includes testing for Staphyloccocus** genus, Enterococcus genus, Candida genus and C. acnes)
  • Synovial Fluid C-Reactive Protein (CRP)
  • White Blood Cell (WBC) Count with Differential (includes WBC, PMN% and Red Blood Cell (RBC) Count)
  • A280 (Absorption at 280nm)

 

ACCURATE1

98.1% Sensitivity | 97.6% Specificity

SIMPLE

Easy-to-understand result interpretation

TIMELY

Results within 24 hours of receipt at laboratory

Familiar Processes, Enhanced Results

Recent Publications

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Parr et al (2025)

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Paranjape et al (2023)

* SynTuition and Synovasure Microbial Identification are not available in New York State.

** Staphylococcus testing includes two (2) antigen analytes

  1. Parr et al. Probability Score for the Diagnosis of Periprosthetic Joint Infection Development and Validation of a Practical Multi-analyte Machine Learning Model. Cureus. 17(5): e84055, 2025.