Deep Learning IDs Neurological Scans 150 Times Faster than Humans
By Admin | September 12, 2018
A deep learning platform designed to identify acute neurological conditions, including stroke, hemorrhage, and hydrocephalus, detected disease in CT scans in 1.2 seconds, or 150 times faster than human radiologists.
Researchers at Mount Sinai Icahn School of Medicine developed the platform by using 37,236 head CT scans and training a deep neural network to identify whether an image contained critical or non-critical findings.
The team then tested the platform in a randomized controlled trial in a simulated clinical setting, where it sorted the CT scans based on their severity.
To learn more, please read, Deep Learning IDs Neurological Scans 150 Times Faster than Humans, by HealthIT Analytics.