Sinkove

Sinkove makes synthetic medical images for research teams. It is an AI biomedical image generator that produces artificial radiology data, so clinical researchers and healthcare AI developers can work without waiting on real patient scans.

The company describes its approach as digital twin technology, which generates synthetic patient datasets shaped to the needs of a given project.

The pitch rests on problems anyone training medical AI models will recognise.

Real radiology data is scarce, often biased toward certain populations, and inconsistent from one source to the next.

Sinkove aims its synthetic datasets at those three gaps, which should shorten the time spent collecting and cleaning data and lower its cost.

This is a research and model-development tool, not a clinical product for diagnosing patients.

Whether synthetic data fits your study depends on your validation requirements, so you will want to check how the images perform against real-world data before relying on them.

Sinkove is most relevant if data access is your bottleneck.