Smart Healthcare That Moves the World
From the exam room to the imaging suite to the research lab, healthcare demands AI that performs in real time, at the point of care, with zero tolerance for latency or error. Intel’s open edge AI portfolio delivers sovereign and efficient inferencing closer to the patient.
From Data-Rich to Decision-Ready
Healthcare generates more data than almost any industry — medical images, genomic sequences, patient monitoring streams, clinical notes — but too much of it sits in silos, processed after the fact, far from where care is delivered. Intel is helping providers and researchers close that gap. Intel’s Edge AI portfolio brings ambient intelligence into clinical environments, cognitive reasoning into diagnostic workflows, and physical AI into surgical robotics and lab automation. Sovereign, local inferencing, running in real time on open platforms designed for the performance, privacy, and regulatory demands.
With over 200 million x86 processors deployed at the edge, thousands of production AI systems already running in healthcare, and an ecosystem of 4,000+ partners building on Intel silicon, we deliver the scale and lower cost of ownership to help health systems move from pilot to production.
Powering Point-of-Care Healthcare
Bring real-time patient monitoring, automated clinical documentation, intelligent nurse call prioritization, and environmental sensing to care facilities— while meeting privacy and compliance requirements.
Explore the smart hospital
Modernizing Digital Infrastructure
Accelerate diagnostic imaging workflows with edge AI that runs inference locally on imaging devices and workstations for real-time image reconstruction, AI-assisted detection and classification, and 3D visualization with human-in-the-loop assurance.
Learn more about medical imaging
Accelerating Scientific Discovery
Intel accelerates scientific discovery by combining deep vertical expertise, a broad product portfolio, and global scale to deliver silicon-based technologies that empower customers to build the world's most competitive and innovative life science instruments.
Learn more about lab automation
Edge AI Suite for Health & Life Sciences
Find validated reference workloads and benchmarking tools to help bring multimodal AI capabilities to patient monitoring use cases. This new Health & Life Sciences AI Suite will be available later in 2026, but you can explore the preview now.
Customer Stories
Explore the latest stories, case studies, and real-world examples to see how together we're enhancing patient care and healthcare delivery.
Explore the Latest from Our Healthcare Blog
Laying Out the Landscape in Today’s Patient Monitoring
More and more hospital environments rely on continuous, high-quality data to support faster clinical decisions, but much of today’s patient monitoring still varies widely by unit, device, and workflow. This episode kicks off a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring.
The Hidden Roadblocks to Smarter Hospitals
As hospitals look to improve outcomes with faster, more informed decisions, infrastructure limitations remain a major hurdle. This episode—part two of a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring—dives into what’s holding back smarter, more connected care.
Expanding Monitoring in Acute Care and Beyond
As hospitals look beyond the ICU to improve outcomes across the entire continuum of care, a key question emerges: how do you expand patient monitoring without overwhelming clinicians with more alarms, more noise, and more work? This episode—part three of a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring—dives into what it will take to make continuous monitoring practical, scalable, and clinically meaningful beyond critical care.
Why We Show Up for Care
Episode 4 of The Future of Patient Monitoring takes a step back from infrastructure and innovation to explore something deeper: the people behind the technology—and what they’ve learned through years of building smarter systems.
What the Future Looks Like if We Get It Right
As the Patient Monitoring series concludes, the conversation shifts from today’s challenges to tomorrow’s possibilities. This final episode of the five-part Health and Life Sciences at the Edge series looks ahead to what healthcare could become if patient monitoring gets it right.
Resources for Healthcare Professionals
Access developer tools, discover how to become an Intel partner, and learn about emerging tech from our experts.
Kick-Start Your Healthcare and Life Sciences Technology Initiatives
Intel can help you get your next project up and running quickly with solutions, partnerships, and support for solution developers.
Providers and Researchers
Learn how Intel can help solve some of the biggest problems in care and research.
Explore Solutions
Industry Customers
Find Solutions that enhance patient care and empower healthcare providers.
Search for solutions
Partners
Supercharge growth and deliver customer value in healthcare and life sciences.
Join the Intel® Partner Alliance
Developers
Accelerate your path to production with our tools and resources.
Explore the Intel® Developer Zone
Frequently Asked Questions
What Is Robotics in Healthcare?
The first robots introduced to the medical field in the 1980s provided surgical assistance via robotic arm technologies. Since that time, technological advancements leading to greater use of artificial intelligence (AI), computer vision, and data analytics have transformed medical robots, expanding their capabilities into many other areas of healthcare.
Robots are now used not only in the operating room but also in clinical settings to support healthcare workers and enhance patient care.
For example, AI-enabled robots in healthcare can clean and prep patient rooms independently or reduce the time it takes to identify, match, and distribute medicine to patients in hospitals. Social robots can help improve patients’ well-being or assist visitors with wayfinding. As a result, doctors, nurses, and other healthcare workers can spend more time providing direct patient care.
The use of robotics and automation also extends to research laboratories, where they automate manual, repetitive, and high-volume tasks so technicians and scientists can focus on more strategic tasks that make discoveries happen faster.
What Is Telehealth Technology?
Telehealth is the remote delivery of vital healthcare services, from virtual consultations and wearable diagnostic devices to surgeries performed via robotic arms.
Overall, telehealth helps manage chronic conditions and improves access to care. Modern innovations in telehealth technology help providers work more efficiently, integrate AI to predict and improve outcomes, keep patients connected with wearables and other tools for remote patient monitoring, and employ robotics to bring specialty care to places it has never been. Telehealth also allows healthcare providers to care for an increased volume of patients.
What Is Predictive Analytics in Healthcare?
Predictive analytics in healthcare is the process of analyzing current and historical health data to identify patterns and trends that help predict future clinical and operational healthcare events.
What Is Precision Medicine?
Precision medicine personalizes the diagnosis, treatment, and prognosis of individual patients, informed by deep analysis of patient data and relevant population health data for genetic markers, traits, or conditions both today and projected over time. Used to better understand health trends and the specific needs of various groups of individuals, precision medicine offers insights that can help enhance health outcomes, drug development, and care plans.
What Is Edge Computing in Healthcare?
From bustling emergency rooms to remote patient monitoring systems, the healthcare industry is increasingly deploying edge computing infrastructure to process data locally, reducing latency and enabling split-second decision support. This shift from centralized cloud computing to distributed edge processing isn’t just a technical upgrade—it’s revolutionizing how healthcare is delivered, experienced, and optimized.
Edge computing has emerged as a transformative solution that brings computational power closer to where data originates—at the “edge” of the network, near patients and Internet of Things (IoT)–powered medical devices, including:
- Wearables: These devices can give clinicians a timely status of key patient vitals such as heart rate and blood pressure, alerting medical staff to issues before they become problems.
- Health monitors: Healthcare providers can improve remote care by using health monitors to collect patient data and trigger actions. For example, edge devices can monitor blood glucose levels and send that information to a companion device, such as a pump, to dispense insulin.
- Artificial intelligence (AI) enabled devices: AI can help detect potential concerns in medical images, prioritizing those images for radiologist or physician review.