Share Your Science: The Impact of Deep Learning on Radiology

Ronald Summers, Senior Investigator at the National Institutes of Health (NIH) shares how they are trying to improve patient care by increasing the accuracy of radiologic diagnosis with advanced computer techniques.

His group is using deep learning and NVIDIA GPUs to assist physicians make a more accurate diagnosis by developing software that improves diagnosis, reduce the chance of errors, and help underserved patients that have limited access to advanced radiology services.

“With deep learning and GPU acceleration we’ve had a substantial improvement in the performance of all these computer programs to the point where the programs are getting pretty close to performing as well as the average physician,” says Summers.

Share your GPU-accelerated science with us at and with the world on #ShareYourScience.

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About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter