Data-driven solutions are driving breakthroughs in healthcare, from R&D to the operating room and patient care.
Artificial Intelligence
Machine Learning
Health Imaging
Remote Monitoring
AI-based solutions contribute to faster recovery times and more effective treatments.
Image Analytics
Robotic Surgery
Drug Discovery
Personalized Medicine
Edge AI in healthcare represents a cutting-edge fusion of artificial intelligence and edge computing, bringing the power of real-time data processing closer to where it's needed—at patient bedsides, in medical devices, or within healthcare facilities. This means data is processed locally, enabling faster, more secure responses. Processing data at the edge leads to quicker diagnostics, enhanced remote monitoring, and more personalized patient care.
Supermicro's portfolio of edge and embedded platforms combines optimal performance with compact, robust form factors that meet the requirements for critical deploymentsin healthcare.
Life Sciences
AI in life sciences and drug discovery is accelerating the development of new treatments by enabling researchers to analyze vast datasets quickly and efficiently. Additionally, the analysis of complex biological data allows treatments to be tailored to individual patient profiles.
By streamlining processes such as clinical trial design and patient stratification, AI enhances the likelihood of successful outcomes and brings innovative therapies to market faster, ultimately paving the way for improved patient care.
Medical Imaging
AI in medical imaging is transforming how healthcare professionals diagnose and treat patients. Through advanced algorithms, AI can detect patterns and anomalies in medical scans that might be missed by the human eye, enabling early detection of diseases.
This technology supports radiologists by automating routine tasks, freeing up time for more complex assessments. Additionally, AI-driven imaging helps reduce diagnostic errors, improve patient outcomes, and streamline workflows, ultimately contributing to more precise and efficient medical care.
Operating Room Assistance
AI in the operating room is revolutionizing surgical procedures by enhancing precision and improving patient safety. Intelligent systems assist surgeons with real-time data analysis, providing critical insights during operations, such as optimal incision points and risk assessment.
Advanced technologies can create detailed 3D visualizations of the surgical site, allowing for better planning and execution, and streamline workflows by automating routine tasks. By integrating AI into the operating room, hospitals can enhance surgical outcomes, minimize recovery times, and ensure a higher standard of patient care.
Patient Care
AI in hospital patient care is reshaping the way healthcare services are delivered, ensuring that patients receive faster and more personalized treatment. By analyzing patient data in real-time, AI can predict potential complications, assist in early diagnosis, and support clinical decision-making. Automated monitoring systems can track vital signs and alert medical staff to any critical changes.
Additionally, AI-driven tools optimize hospital operations, from scheduling and resource allocation to improving patient flow. Innovations like these help reduce workloads for healthcare professionals while improving care quality and patient outcomes.
ARS-E103-JONX, powered by Jetson Orin NX, enables high-performance, low-latency AI processing at the point of care, transforming medical imaging and diagnostics. Advanced deep-learning models run directly on-device to analyze ultrasound, X-ray, CT, and endoscopy feeds in real time—minimizing delays and improving clinical decision-making. With support for multi-sensor inputs, Orin delivers precision image processing and AI-driven anomaly detection at the edge. This reduces dependence on cloud bandwidth, strengthens patient data privacy, and ensures fast, reliable outcomes in mission-critical healthcare environments.
AI in Healthcare
Helping those who help others provide the highest quality care
- Patient safety and monitoring
- Diagnostic imaging
- Wayfinding
In healthcare, predictive AI is increasingly being trialed with diagnostic imaging, attempting to enhance the accuracy and efficiency of medical diagnoses by augmenting trained experts.
Another example, particularly in hospital settings, is to use generative AI for wayfinding - an application that enhances the patient and visitor experience. Digital kiosks and concierge services, powered by AI, guide individuals through complex hospital layouts, offering directions and information either on wall-mounted screens that follow the visitor’s progress or on updates delivered right to a mobile device.
Product Use Case
SYS-112B-FWT
The 1U ultra-short depth system has the high performance and GPU support to deliver AI applications such as wayfinding on digital kiosks to enhance a hospital visitor's experience.
SYS-212B-FN4TP
The 2U short-depth rackmount system enables edge AI inferencing applications such as patient safety and monitoring by processing multiple input formats, using a choice of Intel® Xeon® 6 series processors and PCIe configurations.
SYS-222HE-FTN
Meet the requirements of demanding applications such as predictive analytics, diagnostics, and personalized medicine by combining the compute performance of a dual Intel® Xeon® 6 series processor with multiple expansion or GPU cards
SYS-322GA-NR
A GPU-optimized server for the healthcare and medical applications, this 3U platform supports multiple inferencing workloads simultaneously, including diagnostics, image interpretation, and risk assessment.
Accelerating Adoption of Edge AI
