Radiology AI software developer Qure.ai is highlighting results from a study conducted by the U.K.'s Frimley Health NHS Foundation Trust that show that the company's qXR software effectively differentiates between normal and abnormal chest x-rays.
The study demonstrated that qXR has a 99.7% accuracy rate for identifying normal x-rays, which reduces a radiologist's reading workload by up to 58%, thus saving up to two hours of time per day, according to Qure.ai.
