Using Artificial Intelligence Solutions to Improve Patient Care

Published: 10/19/2018, Last Updated: 10/19/2018

The University of California, San Francisco targets data-fueled insights for clinical medicine with Intel® Xeon® processors.

The University of California, San Francisco (UCSF) is using Intel® Xeon® Scalable family processors and BigDL* on Apache Spark* to advance artificial intelligence (AI) for clinical medicine. These technologies allow UCSF to:

  • Develop and train an AI model to identify a key precursor of osteoarthritis.
  • Broaden its researchers’ access to AI by deploying scalable, cost-effective infrastructure based on industry-standard technologies.
  • Enhance its researchers’ ability to solve clinical care challenges with a unified platform for AI and other analytics.

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Product and Performance Information

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Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

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