Make your organization AI ready
Around the world, healthcare organizations are using artificial intelligence (AI) to push innovation to the limit. See how you can get started.
Fuel AI across your institution
Unlock the potential of AI for a growing range of healthcare use cases. Where can it benefit your organization?
See what the experts are saying
Check in with NetApp AI specialists to hear what they're seeing in healthcare, and where AI fits best.
Predictive analytics are protecting patient data
See how Mt. San Rafael Hospital is leveraging NetApp to stop security breaches, and improve patient care.
Accelerate AI/ML initiatives
FlexPod demystifies deployment in environments where data gravity, security and regulatory requirements dictate on-prem model training.
Two steps to AI readiness
Learn how data access and usability are the foundation of AI readiness. And why infrastructure matters.
Implement Smart Infrastructure Choices to Increase Success
This white paper examines three important areas in which AI will play a significant role: medical imaging, digital pathology, and genomics.
Start small, scale without limits
NetApp ONTAP AI helps you get going faster to speed innovation and experimentation.
Accelerate genomic insights
Explore the impact genetic analytics is having on science and healthcare, and how NetApp accelerates insights.
Three ways AI is transforming the future of healthcare
See how AI is accelerating discoveries, improving care and disrupting the industry as we know it.
Closing the loop with integrated analytics
Bridging the gap between the clinical and coding domains helped Mercy quickly identify missed diagnoses, improving care and lowering costs.
Speed analysis by 30x
Parabricks high-performance computing is tailored for whole genome sequencing and gives you the power to process and store the data you need.
Solutions for Healthcare AI and Analytics
Gain new insight from your structured and unstructured data. Accelerate analysis from disparate sources including clinical applications, IoT, genomics, insurance claims engines, and research databases. Leverage AI and machine learning to better identify, risk-stratify, and treat complex medical conditions.