What is SynTuition®?

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 5 analytes and assesses not only their individual results, but the interaction with other analytes. Included are:

  • Synovasure® Alpha Defensin
  • Synovial Fluid C-Reactive Protein (CRP)
  • White Blood Cell (WBC) Count
  • PMN %
  • Red Blood Cell (RBC) Count

Culture is performed alongside the Synovasure® Comprehensive PJI Panel, but is not included in the SynTuition® Score.

 

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

Parr et al_2026_Machine Learning-Driven Probability Scoring Enhances Diagnostic Certainty and Reduce Costs in Suspected Periprosthetic Joint Infection_Diagnostics_Page_01

Parr et al (2026)

Parr J et al_2025_thumbnail_2

Parr et al (2025)

Paranjape et al_2023_thumbnail._2

Paranjape et al (2023)

  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.