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.
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Share Your Science: The Impact of Deep Learning on Radiology
Dec 13, 2016
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AI-Generated Summary
- Ronald Summers and his team at the National Institutes of Health (NIH) are using deep learning and NVIDIA GPUs to enhance the accuracy of radiologic diagnosis.
- The technology is being developed to assist physicians in making more accurate diagnoses, reducing errors, and expanding access to advanced radiology services for underserved patients.
- According to Ronald Summers, deep learning and GPU acceleration have significantly improved the performance of computer programs used for diagnosis, bringing them close to the level of an average physician.
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