Health & Life Sciences

The promise of AI in healthcare and life sciences is profound. It can help physicians and researchers prevent disease, speed recovery and save lives, by unlocking complex and varied data sets to develop new insights. AI can speed genomics processing and make medical image analysis faster and more accurate for personalized treatment. It can also be used to detect and correct massive waste, fraud and abuse in healthcare spending.

Customer Spotlights

GE Healthcare

The convergence of AI and IoT is changing the way healthcare is delivered. GE Healthcare and Intel are at the forefront of this transformation, bringing medical imaging and deep learning technologies together to develop new solutions and deliver informed care in a timely manner.

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Siemens Healthineers Explores AI at the Edge

Siemens Healthineers, the global healthcare market leader in diagnostic imaging, showed that with 2nd-generation Intel® Xeon® Scalable processors, Intel® Deep Learning Boost and optimizations with the Intel® Distribution of OpenVINO™ toolkit, they were able to speed up the company’s cardiac MRI segmentation deep learning models by factors in the range of up to 3x – 10x for better real-time inferencing. Intel Deep Learning Boost has the potential to help Siemens Healthineers introduce new real-time applications into the market without the added complexity and burden of having dedicated accelerators in their systems.

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Sharp Healthcare

Leading hospitals are using data analytics, machine learning, and artificial intelligence to identify which patients are most at risk so they can respond more swiftly to life-threatening events.

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Broad Institute

Intel employee Bryce Olson was diagnosed with stage 4 prostate cancer. When the standard of care didn’t work, Bryce turned to genomic sequencing which allowed his doctors to identify specific genetic drivers of his disease and identify specific treatments and clinical trials that were a fit for his specific cancer. This precision medicine approach helped send his cancer into remission for several years.

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AccuHealth captures patient data using smart biometric sensors and a home-based monitoring device, and then analyzes the data in their Intel® Xeon® processor-based datacenter, tracking patients’ conditions, predicting beneficial interventions, and driving new discoveries. With this data-focused approach, AccuHealth is shifting care from a reactionary, facility-based model to a proactive, home-based model. When treating patients with highly complex disease states, AccuHealth has reduced ER visits by an average of 42% and costs to insurers by an average of 50% per patient.

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Intel collaborates with Novartis* on the use of deep neural networks (DNN) to accelerate high content screening – a key element of early drug discovery.

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Hardware & Software Resources

Intel® Xeon® Scalable Processors

New Intel® Xeon® Scalable processors are workload-optimized to support hybrid cloud infrastructures and the most high-demand applications.

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Optimized Genomics Codes from Intel

Healthcare today finds itself in the midst of a dramatic transformation. Big changes are being driven in part by the converging trends: explosion in genomic data and plummeting gene sequencing cost.

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Genome Analysis Toolkit

A software package developed at the Broad Institute to analyze next-generation sequencing data.

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OpenVINO™ Toolkit

Make your vision a reality on Intel® platforms—from smart cameras and video surveillance to robotics, transportation, and more.

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Intel® Movidius™ Technology

The Intel VPU will allow developers to build and deploy the next generation of deep neural network applications on Windows clients.

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BigDL on Apache Spark*

BigDL is a distributed deep learning library for Apache Spark*. Using BigDL, you can write deep learning applications as Scala or Python* programs and take advantage of the power of scalable Spark clusters.

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Intel Healthcare Transformation

Leading hospitals are using data analytics, machine learning and artificial intelligence to identify which patients are most at risk so they can respond more swiftly to life-threatening events.

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Deep Learning for Blindness Prevention

Intel® technologies and Caffe* optimized for Intel® architecture help speed deep-learning throughput for efficient, high-quality, and cost-effective eye-health screening.

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Philips Healthcare MRI Image Reconstruction

The Intel Distribution of OpenVINO toolkit allows developers to deploy their deep learning models with improved inference on a variety of Intel hardware. Using the toolkit’s custom extensions feature, Intel was able to speed up the compressed sensing workloads for Philips Healthcare by as much as 54x on an Intel Xeon Gold 6138 processor compared with unoptimized TensorFlow.

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Intel® Distribution of OpenVINO™ Toolkit Optimizes Deep Learning Performance for Healthcare Imaging

The Intel® Distribution of OpenVINO™ toolkit helps developers and data scientists accelerate development of computer vision and deep learning applications, and deliver the power of AI to clinical diagnostic scanning and other healthcare workflows—without adding hardware cost and complexity.

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Solutions From Intel AI Builders Partners

Market-Ready Health & Life Sciences Solutions

Find optimized and market-ready Health & Life Sciences partner solutions tailored to help support your AI deployment needs.

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Cross-Industry Solutions

Find AI solutions that support a wide variety of industries and include offerings such as data labeling, vision analytics, PDF mining and more.

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Health & Life Sciences Document Library

Read Solution Briefs and White Papers for Health & Life Sciences that help you develop and deploy AI solutions.

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More Health & Life Sciences Resources

Find more partner resources for Health & Life Sciences such as videos, blogs, podcasts and more.

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Use Cases

Subtle Medical’s FDA-approved SubtlePET Leverages Intel®

Subtle Medical uses the Intel Distribution of OpenVINO Toolkit to accelerate their SubtlePET technology into the existing clinical computing infrastructure.

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Deep Learning for Medical Imaging with Intel and Philips

Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators.

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Siemens Healthineers Accelerates AI for Cardiology

Learn how Siemens Healthineers and Intel are working to accelerate #AI for medical imaging using 2nd Generation Intel® Xeon® Scalable processors with Intel® Deep Learning Boost and Intel® Distribution™ of OpenVINO™ toolkit. This Siemens Healthineers’ feature is currently under development and not available for sale.

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GE Healthcare Accelerates Pneumothorax Detection at Point of Care with Intel AI

GE Healthcare leverages Intel® Distribution of OpenVINO™ Toolkit to optimize AI inferencing of an X-ray image within seconds on Intel® processors.

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