The cofounders of AZmed are nominated as Forbes 30 Under 30

Diagnostic errors can delay care and frustrate patients. For radiology practices with high volumes of X-rays, maintaining accuracy while managing the daily workload is a significant challenge. SimonMed Imaging, one of the largest outpatient medical imaging providers in the U.S., addressed this by integrating AZmed’s clinically backed AI solution. With AZtrauma, radiologists receive X-rays augmented with AI, which marks potential fractures and other critical findings. Watch the video to hear what their Chief Innovation Officer, Dr. Sean Raj, MD, MBA, has to say.

In order to address this growing shortage of healthcare professionals and provide ever more accurate and rapid diagnoses for more precise clinical decision-making, AI solutions have emerged, particularly in medical imaging. This year, AZmed is proud to present two scientific papers at this year's congress concerning the detection of CHEST anomalies on standard radiographs.

Fracture detection solutions are particularly critical in this context, as radiographic fracture identification remains highly complex and challenging. To address this persistent issue, the National Institute for Health and Care Excellence (NICE) in the UK established a committee to assess the role of AI in radiology and shortlisted top fracture detection AI solutions, including AZmed’s AZtrauma, one of the verticals of Rayvolve® AI suite, as part of its Early Value Assessment (EVA).