Healthcare and Life Sciences Technology Solutions
Driving the Future of Healthcare and Life Sciences
At Intel, our decades-long history in healthcare and life sciences has given us deep insights into the needs of clinicians, researchers, and patients. We use this knowledge in combination with our expertise in AI, ubiquitous computing, pervasive connectivity, and edge-to-cloud capabilities to create technologies that help organizations overcome complex challenges and use data in more intelligent and effective ways.
With a vast hardware and software portfolio that supports a robust partner ecosystem, we’re powering the convergence of digital technologies into instruments, devices, and tools that can improve patient outcomes and experiences, accelerate scientific discoveries, and streamline clinical and lab workflows for providers and researchers. Intel® technology delivers the platform ubiquity and the performance, flexibility, and scalability needed to transform health and life sciences and help improve the life of every person on the planet.
Kick-Start Your Healthcare and Life Sciences Technology Initiatives
Get your next project up and running quickly.
Developers
Accelerate your path to production with our tools and resources.
Industry Customers
Find solutions that help improve patient experiences and deliver fast, accurate results.
Partners
Supercharge your growth and deliver customer value in health and life sciences.
Healthcare and Life Sciences Success Stories
GE Improves Cancer Diagnosis Accuracy
The GE Healthcare GE Invenia ABUS 2.0, powered by Intel® Core™ processors and third-party AI tools, improves the clinical accuracy of breast cancer lesion detection, providing up to 93 percent sensitivity for detection and reducing reading time by 33 percent12.
Learn about the solution
TGen Cuts Sample Processing Time to Seven Hours3
Discover how high performance computing—enabled by Intel® Xeon® Scalable processors, Intel® Optane™ memory, and Dell rack servers—is helping in the development of genomic treatments for rare diseases.
Take a look
KFBIO Accelerates Cancer Screening by 8.4x4
Find out how KFBIO used Intel® AI technologies to accelerate automated screening for abnormalities in Pap smears by 8.4x.
Read the story
Samsung Improves Nerve Detection Accuracy by More Than 20%5
Learn how real-time AI inference of ultrasound nerve images helped accelerate image processing, improve workflows, and boost accuracy of nerve detection for anesthesiologists.
Get the full story
AI in Healthcare and Life Sciences
AI-enabled technologies are shaping the future of healthcare and life sciences. Intel’s work in AI is helping professionals address pressing challenges, such as advancing precision medicine, transforming raw data into new insights, accelerating pharmaceutical development, and streamlining medical imaging workflows.
Powering Smart Hospitals
Intel enables smart hospitals by simplifying integration and enabling the intelligence, security, and connectivity required to modernize processes and transform patient care.
Smart Hospital Applications
Medical Imaging
Accelerate medical imaging and make breakthroughs in patient diagnosis and treatment happen quicker with Intel® technologies.
Robotics in Healthcare
Transform patient care, streamline clinical processes, and promote worker safety with Intel-powered medical robots.
AI in Telemedicine
Redefine remote care with AI and IoT to improve access to care, boost clinical efficiencies, and keep patients connected.
Predictive Analytics
Fuel predictive analytics solutions that help improve outcomes and reduce costs with big data analytics and AI technologies.
Accelerating Scientific Discovery
With AI, automation, robots, and other advanced technologies, Intel empowers lab leaders to accelerate discovery and improve accuracy.
Lab and Life Sciences Applications
Precision Medicine and Genomics
Accelerate tailored treatments built for each patient’s biological profile with powerful technologies that move, store, and process massive amounts of data.
AI-Enabled Digital Pathology
Enable faster results and rapid delivery into clinical workflows with AI-enabled digital pathology.
Modernizing Digital Infrastructure
Intel powers the modern digital infrastructure that helps researchers, clinicians, and other professionals accomplish more, reduce costs, and maintain the best outcomes—taking advantage of data-driven insights, from edge to cloud.
Panel PCs in Healthcare
Panel PCs provide a simple way for staff to review records, charts, and other information from anywhere medical staff need access to patient data.
Edge Analytics for Healthcare
Edge computing and analytics convert data into new insights to help improve patient outcomes while delivering financial and operational value.
Artificial Intelligence
Machine learning and AI offer extraordinary possibilities in healthcare and life sciences.
Kick-Start Your Healthcare and Life Sciences Technology Initiatives
Get your next project up and running quickly.
Developers
Accelerate your path to production with our tools and resources.
Industry Customers
Find solutions that help improve patient experiences and deliver fast, accurate results.
Partners
Supercharge your growth and deliver customer value in health and life sciences.
Información sobre productos y desempeño
Yang, Shanling, et al. "El tiempo de lectura y desempeño de las ecografías mamarias automatizadas con o sin detección asistida por computadoras". Radiology 292, n.ᵒ 3 (18 de junio de 2019): https://doi.org/10.1148/radiol.2019181816.
Jiang, Yulei, et al. "Tiempo de interpretación con un sistema de detección asistido por computadoras de lectura simultánea para ecografías mamarias automatizadas para la detección del cáncer de mamas en mujeres con tejido mamario denso". American Journal of Roentgenology 211, n.ᵒ 2 (agosto de 2018): 452–461. https://www.ajronline.org/doi/10.2214/AJR.18.19516.
"TGen resuelve el misterio genético de la enfermedad", Intel, s. f. Ingresado el 14 de marzo de 2022. https://www.intel.com/content/www/us/en/customer-spotlight/stories/tgen-customer-story.html.
Rendimiento de producción del modelo OpenVINO™ de detección de cáncer del cuello uterino con KFBIO en un procesador Intel® Xeon® Gold 6148:
NUEVO:
Prueba 1: probado por Intel al 15/06/2019. Procesador Intel® Xeon® Gold 6148 de dos zócalos; 20 núcleos; HT: activado; turbo: activado; memoria total: 192 GB (12 ranuras/16 GB/2,666 MHz); BIOS: SE5C620.86B.0X.01.0007.062120172125 (ucode: 0x200004d); CentOS Linux versi´ón 7.5.1804 (Core); marco de aprendizaje profundo: Keras 2.2.4 y TensorFlow optimizado por Intel: 1.13.1; topología: RetinaNet: https://github.com/fizyr/keras-retinanet; compilador: gcc 4.8.5, MKL: DNN versión: v0.17, BS=8, datos sintéticos y datos de clientes; una instancia/dos zócalos; tipo de datos: FP32.
Prueba 2: probado por Intel al 15/6/2019. Procesador Intel® Xeon® Gold 6148 de dos zócalos; 20 núcleos; HT: activado; turbo: activado; memoria total: 192 GB (12 ranuras/16 GB/2,666 MHz); BIOS: SE5C620.86B.0X.01.0007.062120172125 (ucode: 0x200004d); CentOS Linux versión 7.5.1804 (Core); Intel® software: OpenVINO R2019.1.1094 topología: RetinaNet: https://github.com/fizyr/keras-retinanet; compilador: gcc 4.8.5., MKL DNN versión: v0.17, BS=1 ocho peticiones asíncronas, datos sintéticos y datos de clientes; una instancia/dos zócalos; tipo de datos: FP32.
Línea base: probado por Intel al 15/6/2019. Procesador Intel® Xeon® Gold 6148 de dos zócalos; 20 núcleos; HT: activado; turbo: activado; memoria total: 192 GB (12 ranuras/16 GB/2,666 MHz); BIOS: SE5C620.86B.0X.01.0007.062120172125 (ucode: 0x200004d); CentOS Linux versión 7.5.1804 (Core); marco de aprendizaje profundo: Keras 2.2.4 y Vanilla TensorFlow: 1.5; topología: RetinaNet: https://github.com/fizyr/keras-retinanet; compilador: gcc 4.8.5, MKL DNN versión: v0.17, BS=8, datos sintéticos y datos de clientes; una instancia/dos zócalos; tipo de datos: FP32.
La afirmación de desempeño se basa en pruebas internas de Samsung al mes de marzo de 2021. Configuración del sistema: CPU Intel® Core™ i3-8100H a 3,0 GHz, 8 GB de memoria; SO: Windows 10 de 64 bits.