Rad AI is a tool specialized towards improving radiology workflows and patient care with artificial intelligence. The tool has various different features designed to cater to the different needs within a radiological workflow, invoking efficiency, reduction in fatigue, and accuracy.

Rad AI’s ‘Reporting’ platform is intended for improving productivity by employing generative AI to minimize fatigue and facilitate more accurate results.

‘Impressions,’ another feature, aims to save radiologists’ valuable time by automatically generating impressions that are customized to each radiologist’s language preferences.

The ‘Continuity’ component closes the loop on follow-up recommendations for incidental findings in radiology reports. By doing this, it aims to improve patient outcomes, reduce health system liability, and drive new financial value.

Furthermore, it facilitates automation of patient follow-up actions which improves visibility and allows clinical teams to focus on patient care. A notable feature of Rad AI Continuity is that it reportedly tracks more than 50 categories of incidental findings, potentially resulting in increased patient follow-up rates.

At large, Rad AI is a tool aimed to leverage automation and intelligence to revolutionize radiology workflows and patient care.