Case Study
Sponsored by Novo Nordisk

MSKUS

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.

MSKUS
Sponsored by Novo Nordisk
Product demo
The breakdown

From the problem to what we shipped

01

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.

02

The solution

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.

Working with the SofTx team

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