How Wonderful Gets Done 2021
Imagine solving your greatest business challenge. View our launch event, recorded April 6th, 2021, as we unveiled the next chapter in our edge-to-cloud vision.
More Connected, Personalized, and Intelligent Care
Good technology is designed to let providers focus on the patient and their care. At Intel, our goal is to build technology that enriches the life of every person on earth. Technologies like artificial intelligence (AI), robotics, and the Internet of Things (IoT) are making healthcare and life sciences more connected, personalized, and intelligent.
For example, AI in medical imaging has enabled providers to identify anomalies more quickly and accurately, which can lead to faster diagnoses.1 Other applications of AI in healthcare support customized patient care, surgical precision, intelligent healthcare analytics, and new genomics research. Combined with IoT healthcare technologies, AI has transformed telemedicine, patient monitoring, and electronic health record (EHR) keeping.
Intel healthcare technologies create efficiencies that enable providers to focus more on the human side of care delivery. In lab and research environments, our technology innovations give researchers powerful tools to make breakthrough discoveries and solve some of the world’s largest healthcare and life science challenges. By working together with solution providers and end users in the healthcare community, we’ll continue to develop transformative technologies for the future of healthcare and life sciences.
Partner Success Stories
Samsung Collaborates with Intel to Speed Nerve Detection and Improve Workflows
Real-time inference of ultrasound nerve images powered by the Intel® Distribution of OpenVINO™ toolkit helps enhance workflow and improve accuracy for anesthesiologists.
Advancing AI in Medical Imaging with GE Healthcare
Every second matters when diagnosing critical conditions. GE Healthcare and Intel collaborated on a medical imaging solution that applies AI to chest X-rays to detect life-threatening conditions in seconds and better prioritize critical cases.1
Akara AI-Powered Robot Disinfects Hospital Surfaces
A robot prototype developed by the startup Akara and powered by an Intel® Movidius™ VPU is disinfecting contaminated surfaces using UV light. Akara’s goal is to help hospitals sanitize rooms and equipment, aiding in the fight against COVID-19.
Accelerating Genomics Research with the Broad Institute
Intel and the Broad Institute collaborate on data center solutions for genomics analytics. This effort is making it possible to combine research data sets worldwide so that researchers can access data that may have been unavailable to them before.
Helping Protect Our Healthcare Heroes with Medical Informatics Corp. (MIC)
Medical Informatics Corp. (MIC) offers a remote intensive care monitoring solution for hospitals to rapidly expand ICU capacity. Run on Intel® Xeon® processors, Sickbay™ helps hospitals protect staff, serve more patients, and deliver remote access to comprehensive data.
Artificial Intelligence in Healthcare and Life Sciences
The promise of AI in healthcare and life sciences is profound. It has the potential to help clinicians and researchers prevent disease, speed recovery, and save lives by unlocking complex data. It can also free them from mundane tasks, so they can focus on their patients or research. Explore Intel’s use cases and developer resources to learn more.
Healthcare Technology Applications Built on Intel
When AI and analytics run faster, clinicians and researchers can work more efficiently. Intel powers some of the most exciting healthcare and life sciences applications with our portfolio of compute, memory, storage, and networking technologies. These real-world applications span from the research lab all the way to the patient’s bedside or home.
Medical Imaging
Intel delivers a range of compute for CT, MRI, PET, X-ray, ultrasound, and endoscopy systems to help clinicians perform accurate, real-time diagnostics. In addition, AI technologies in medical imaging can help improve patient experiences, reduce clinician workloads, and increase operational efficiency.
Analytics
Turn data into insights quickly. Intel provides a foundation for the latest big data platforms, AI models, edge computing, and other analytics in health information technology. At the edge or in the cloud, analytics can help predict when and where care will be needed, track patient vitals in real time, and much more.
Lab and Life Sciences
Lab breakthroughs lead to new strategies in healthcare and medicine, including customized treatments based on a patient’s own genetic data. From genomics to drug discovery to infectious disease management, Intel® technologies help digitize the lab, making data analytics and research efficient and measurement consistent.
Telemedicine
Telemedicine and telehealth span a range of techniques for remote care, including vitals monitoring, chronic disease management, and specialist consultations. Intel® technologies enable telehealth solutions that deliver comprehensive, integrated patient care.
Robotics
New categories of robots powered by Intel® technologies are transforming healthcare. Surgeons can perform noninvasive surgeries using AI to better see inside their patients. Disinfection and logistics robots help with manual tasks such as cleaning and delivering supplies. Patients can get support from assistive robots in their homes.
Notices and Disclaimers
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
GE Healthcare medical imaging case study: System 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 Intel® Distribution of OpenVINO™ toolkit optimized TF model resulting in a total inferencing time of 0.913 seconds.