Radical AI joins Zebra-Med

Radical AI was founded in 2017 to develop high impact, deep learning-based solutions for radiology workflow. When analyzing unmet needs in the field, a few key points quickly became clear – first and foremost, that radiology as a specialty is undergoing a real crisis. With an estimated 5 billion exams (and rising) currently performed annually worldwide, less than 10 radiologists per 100,000 patients (first-world average!), and the long, expensive process required to train new radiologists, the need for AI assistance is urgent.

 

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TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays

At Zebra-med we set out on a long journey to create an automated radiology assistant – to help radiologists become more efficient and enable them to take care of many more patients. With 2 billion people joining the middle class worldwide and a growing global shortage of clinical experts, there is a sense of urgency to develop technology which can help bridge the gap between supply and demand of radiology services – technology such as the one I’ll discuss here…….

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TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays