The problem
Ultrasound assessment of joint effusion and synovial change is highly operator-dependent. Readings vary across clinicians, machines, and settings — which undermines the consistency longitudinal hemophilia care depends on.
SynoVision is an ultrasound AI system that brings consistency to joint assessment in hemophilia care. It reads effusion and synovial change directly from ultrasound images and turns an operator-dependent judgement into a repeatable signal.
By standardizing how joints are scored across clinicians and machines, SynoVision supports longitudinal monitoring and earlier, more confident decisions for the patients who depend on it.


Ultrasound assessment of joint effusion and synovial change is highly operator-dependent. Readings vary across clinicians, machines, and settings — which undermines the consistency longitudinal hemophilia care depends on.
An ultrasound AI model that detects effusion and synovial signals to standardize joint assessment. It ingests ultrasound images and returns structured outputs through an API, with optional integration into existing clinical review tools.

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