HealthPNX reads chest X-rays and digital radiography scans to find pneumothorax, which is among the most difficult conditions to interpret from imaging data, saving physicians more than 80 percent of the time it usually takes to detect the condition. The system then sends an urgent alert to healthcare providers and flags the scan in Zebra-Med’s other integrated radiology solutions.
The deep learning technology was trained to identify more than 40 common clinical findings from imaging data using millions of images. A subsequent study found that, on average, trained radiologists agreed with the findings of the HealthPNX algorithm more often than they agreed with each other’s assessments.
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