Analysis of medical images is a time sink for radiologists, but crucial for diagnosing all sorts of ailments. When screening for lung cancer, radiologists spend up to three minutes analyzing a normal image and as long as 10 minutes analyzing one with an abnormality. Moreover, the varied levels of skill and expertise of radiologists can result in differing conclusions and occasional misreads, leading to unnecessary procedures.
In developing nations like Mozambique, where there are only a few radiologists serving a population approaching 30 million, the challenges are even greater. Into this fray steps Arterys, which in 2017 became the first healthcare company to receive clearance from the U.S. Food and Drug Administration for cloud-based clinical solutions that use deep learning.
