Filling out redundant reports is a tremendous pain point for healthcare professionals.

The amount of time spent entering notes is overwhelming compared to the amount of time spent in actual patient care or scan interpretation.
Rad AI is changing that.

An AI-powered reporting tool that allows radiologists to focus on the real work.

Radiologists interpret scans; Rad AI translates their findings into reports. Radiologists no longer need to rewrite the same content over and over again in slightly different formats.

Boosting productivity.

Rad AI transforms dictated notes into formalized reports, pulling in previous patient data wherever referenced. This not only saves time, but lets radiologists keep their focus on the images they’re interpreting.

Increasing efficiency while minimizing fatigue.

On average, Rad AI saves radiologists over an hour a day and leaves them less depleted at the ends of their shifts.

Improved diagnostic accuracy.

Rad AI Reporting helps radiologists catch and fix clinically significant errors.

Seamless integration into existing medical systems.

Rad AI came to us because they needed their users to be able to launch and use Rad AI from within their existing medical software. Rad AI had a basic setup in place, but needed our help creating tests that would ensure their systems were airtight.

Innovative testing to improve a cutting-edge AI product.

We reengineered the way Rad AI’s tests were written. Instead of testing each aspect of the software at a step-based level, we took an outcomes-based approach, building around expected high-level functionality. The result? Heightened reliability.

AI that empowers radiologists to do their work better, with less hassle.

Rad AI takes over redundant aspects of the work, allowing health care professionals to spend more time seeing patients, interpreting results, and cutting down on wait times. We’re grateful to have had a hand in making their product accessible to hospitals and clinics everywhere.