Make Breakthroughs in Medical Imaging Technology

X-rays, magnetic resonance imaging (MRI), computed tomography (CT) imaging, and ultrasounds generate about 600 million scans a year—and that number is growing.1 With a trusted history of providing advanced technologies for medical imaging systems, Intel is addressing several challenges in the market:

  • Compute options. OEMs and ODMs are designing solutions across a diverse range of form factors, from mobile ultrasound to nuclear medicine. Each form factor has its own unique compute requirements. Intel offers a range of CPUs that meet the needs of any imaging modality.
  • Scalable platforms. The medical imaging industry is moving toward more standardized computing platforms that can be shared across modalities to lower costs and accelerate innovation. Intel supports scalability with an unmatched product portfolio that includes compute, storage, memory, and networking, backed by extensive software resources. We can help with resources for full-stack platforms that support today’s most challenging workloads and tomorrow’s designs.
  • Edge-to-cloud deployment. The ability to flexibly deploy workloads at the edge and in the cloud is quickly becoming the status quo. Edge computing in particular allows providers to analyze images and make decisions at the point of care. This near-real-time medical image analysis can enable faster decisions that help save lives. With our broad range of solutions and deep partner ecosystem, Intel enables a modern edge-to-cloud architecture.
  • Artificial intelligence. AI is revealing new ways to streamline workflows and is becoming a de facto capability in imaging systems. For example, deep learning in medical imaging can help prioritize images for a patient with a potentially fatal brain bleed over others in the queue. In other cases, AI can help evaluate images quickly and accurately while removing variances. AI can even help with patient positioning, which can mean the difference between a useful image and the inconvenience of a retake. Intel offers hardware with built-in AI acceleration, plus optimized software. Our demonstrated success in AI ranges from helping deploy deep learning models on in-market modalities to designing mobile systems that can run AI without connectivity.
  • Developer enablement. To gain traction in the medical imaging marketplace, software developers building AI-enabled applications need to provide complete solutions and differentiated capabilities. Applications must meet an extensive range of accuracy, cost, customer deployment, and scalability requirements. Intel offers a broad array of tools and programs designed to help software developers successfully develop, launch, and scale new medical imaging AI applications that meet the needs of the healthcare market.

At Intel, our work is informed by strong partnerships within the healthcare ecosystem, from major healthcare systems to developers and software vendors. Together, we’re harnessing AI, edge computing, and other advanced technologies to power digital transformation in medical imaging technology.

Streamline Workflows for Medical Imaging and Radiology Applications

Used both for diagnosis and treatment, medical imaging technology is among the most powerful tools to improve patient care. Intel hardware and software power high-performance solutions for CT scanning, MRIs, nuclear imaging, and other types of medical imaging, allowing these systems to rapidly process massive amounts of image data and streamline workflows. And with built-in optimizations for AI, Intel® products make it possible to build solutions that perform faster scans, which could help reduce exposure time.

CT

Intel® Core™ processors offer a range of compute options for CT scanners. AI algorithms running on high-performance Intel® Xeon® processors are reducing the compute time needed to generate images from low-dose CT scans.[f: Lung Nodule Detection from CT Scan Using Intel Processors, QuEST Global white paper,  builders.intel.com/docs/aibuilders/lung-nodule-detection-from-ct-scan-using-intel-processors.pdf.]

MRI

Intel processors deliver exceptional performance for MRI imaging. The latest Intel® AI Technologies are helping speed the processing of MRI scans so staff and equipment can work more efficiently.[f: GE Healthcare’s AIRx™ Tool Accelerates Magnetic Resonance Imaging using Intel® AI Technologies, Intel white paper, intel.com/content/www/us/en/artificial-intelligence/solutions/gehc-airx.html]

X-Ray

Choose Intel® Core™ and Intel® Xeon® processors for a range of X-ray systems. AI-enhanced X-rays optimized on Intel hardware are designed to detect life-threatening conditions in seconds while prioritizing critical cases.[f:“Intel and GE Healthcare Partner to Advance AI in Medical Imaging,” Intel Customer Spotlight,  intel.com/content/www/us/en/customer-spotlight/stories/ge-healthcare-medical-imaging.html.]

Ultrasound

Intel® architecture provides fast processing for high-resolution, near-real-time ultrasound images, plus low-power options for enhanced portability.

Endoscopy

Intel® technologies support today’s advanced image processing workloads with support for AI in the future. For example, endoscopic camera systems equipped with Intel processors can run AI algorithms during exams. This can help clinicians visualize objects in the GI tract or esophagus in real time.

Nuclear Medicine

Complex, compute-intensive nuclear imaging benefits from high-performance Intel processors, with software tools to further accelerate workloads.

Medical Image Storage

Whether on-premises or cloud-based, Intel processors and storage technologies support enterprise imaging solutions for medical image storage and sharing.

Advancing Medical Imaging with Intel Solutions

Intel® Vision Product Portfolio

Intel® software streamlines the development of AI-based medical imaging solutions across a range of hardware—CPUs, VPUs, GPUs, and FPGAs. This portfolio of hardware and software enables the healthcare industry to make the most of medical imaging data and provide better patient experiences.

See Intel® Vision Products ›

Intel Processors

Find a range of processors with the right performance and power consumption for any medical imaging solution.

See Intel Atom® processors ›

See Intel® Core™ processors ›

See Intel® Xeon® processors

Accelerators

Accelerate medical imaging systems with Intel® Movidius™ VPUs or Intel® FPGAs.

See Intel® Movidius™ VPUs

See Intel® FPGAs

Memory and Storage

Store and retrieve medical images fast with Intel® Optane™ persistent memory and Intel® Solid State Drives (Intel® SSDs).

Explore Intel® Optane™ persistent memory

See Intel® SSDs

Networking

Worldwide availability and exhaustive compatibility testing make Intel® Ethernet products a leading choice for server network connectivity.

See Intel® Ethernet products

Software Tools

Find software tools to optimize the performance of your Intel hardware for medical imaging systems.2

Explore software

Intel® AI: In Production

Join an ecosystem where you can find software, kits, and other resources to help reduce the complexities of development.

Visit Intel® AI: In Production

Intel® Distribution of OpenVINO™ Toolkit

Optimize AI algorithms for medical imaging across a full range of Intel hardware.2

Learn more

Developer Resources for Medical Imaging Software

Find software tools, programs, and other resources designed to accelerate the development of medical imaging AI applications. Optimize applications, test workloads on the latest Intel hardware in the cloud, connect with hardware partners, and much more.2

Optimize AI Performance

Deploy deep learning at scale while balancing AI performance with reasonable total cost of ownership (TCO) targets.

Deploy from Edge to Cloud

Design and deploy edge solutions by connecting to an ecosystem of solution providers and other resources.

Increase Visibility and Scalability

Find opportunities for market exposure and connect to Intel’s global ecosystem of partners through the Intel® Solutions Marketplace.

Customer Success Stories

Samsung Automates Ultrasound Measurements

Samsung Medison has developed two automated ultrasound measurement technologies that streamline clinical workflows, helping clinicians make decisions during pregnancy and birth. Both technologies are optimized by the Intel® Distribution of OpenVINO™ toolkit.2

Learn how

GE Healthcare Accelerates Inference in Triage

In critical patient situations, every second matters. GE Healthcare used Intel® Vision technologies to develop an AI algorithm that helps medical staff quickly triage life-threatening cases. Using the Intel® Distribution of OpenVINO™ toolkit2, the team was able to reduce inferencing for collapsed lungs from three seconds to less than one second.3

Read more

Personalizing Medicine with Siemens Healthineers

Siemens Healthineers is exploring the role of AI and deep learning in personalized medicine and identifying pathways for disease. Learn how this team is collaborating with Intel on applying AI to real-time diagnosis to improve patient outcomes.

Learn more

Philips and Intel Demonstrate Cost-Efficient Imaging

Philips set out to offer AI-accelerated imaging without dramatic cost increases or hardware modifications. The team showed that servers powered by Intel® Xeon® Scalable processors, along with the Intel® Distribution of OpenVINO™ toolkit, could perform deep learning inference on X-rays and CT scans for bone-age-prediction modeling and lung segmentation.

Read the whitepaper

Carestream Delivers Medical Images from the Cloud

To work efficiently, clinicians must be able to quickly call up MRIs, CT scans, and other images from any device they’re using. Backed by Intel® Xeon® Scalable processors and Intel® Optane™ technology, Carestream provides a solution that makes medical records affordable and readily accessible to users.

Learn more ›

See More Customer Stories


Artificial Intelligence in Medical Imaging Technology

Intel is at the forefront of advancing technologies that enable the medical imaging market to adopt AI. Intel hardware is already used in many areas of medical imaging technology, so running AI models on the same architecture is a natural progression. We offer hardware, software, and expertise to address a wide range of needs, including:

  • Retrofitting in-market systems with the ability to run AI models
  • Deploying AI seamlessly across edge environments and the cloud
  • Developing scalable AI platforms to run today’s most challenging algorithms with a foundation for tomorrow's future innovations

Explore AI ›

Visit Intel® AI: In Production ›

Explore Advanced Medical Imaging Technology at the Intel® Solutions Marketplace


Notices and Disclaimers

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.

Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations, and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit intel.com/benchmarks.

Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.

Intel® technologies may require enabled hardware, software, or service activation.

No product or component can be absolutely secure.

Your costs and results may vary.

Product and Performance Information

1“Medical Imaging Market Analysis, Size, Trends,” MedSuite, 2016, https://idataresearch.com/product/medical-imaging-market-united-states/.
2Intel’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.
3System test configuration disclosure: Intel® Core™ i5-4590S CPU @ 3.00 GHz, x86_64, VT-x enabled, 16 GB memory, OS: Linux magic x86_64 GNU/Linux, Ubuntu 16.04 inferencing service docker container. Testing done by GE Healthcare, September 2018. Test compares TensorFlow model total inferencing time of 3.092 seconds to the same model optimized by the Intel® Distribution of OpenVINO™ toolkit optimized TF model resulting in a total inferencing time of 0.913 seconds.