From medical imaging to analyzing genomes to discovering new drugs, the entire healthcare industry is in a state of transformation and GPU computing is catalyzing these changes. GPU-accelerated applications and systems are delivering new efficiencies and possibilities, empowering physicians, clinicians, and researchers passionate about improving the lives of others to do their best work.
Researchers and medical professionals count on the unmatched performance and innovative capabilities of NVIDIA® Quadro® GPUs to tackle even the most demanding life sciences and clinical visual computing and HPC (high Performance Computing) tasks with ease. Built to mission-critical quality standards and offering long lifecycle availability – a key advantage in regulated products and environments – NVIDIA Quadro desktop and embedded GPU solutions provide the visual and compute performance required for the world’s most sophisticated medical diagnostic systems, bioinformatics workstations, or basic research across the full portfolio of life sciences disciplines.
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ON-DEMAND WEBINAR Watch this on demand webinar on how NVIDIA Quadro RTX catalyzes next-generation healthcare and delivery by providing superior medical imaging systems, enabling minimally invasive surgical techniques with Virtual Reality (VR), assisting clinicians with Artificial Intelligence (AI) enhanced diagnostic tools, and achieves the most important goal of all – improving patient outcomes and quality of life.
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NVIDIA Quadro graphics boards use parallel processing to break down complex visual computing problems such as processing and visualizing the raw data provided by CT, ultrasound, MRI and PET scans into many smaller tasks that run simultaneously (in parallel). Where contemporary CPUs have anywhere from 2 to 22 cores, NVIDIA Quadro GPUs suitable for life sciences or medical use offer anywhere from 640 to 5120 CUDA cores – and products like the NVIDIA Quadro RTX™ even offer Tensor cores optimized for AI (Deep learning) or RT cores designed for realtime 3D visualization. The massive core count increase allows GPUs to run vital tasks in parallel at far greater speed than any conceivable CPU can offer, across a broad spectrum of medical imaging technologies and life sciences research applications. With their large on-board graphics memory and rigorously optimized and tested software drivers, NVIDIA Quadro GPUs are the engines that power the world’s most sophisticated medical imaging solutions. These same powerful features also make them ideal for many essential life sciences research applications necessary to enable breakthroughs in basic research or speeding the drug discovery and development process.
Today, NVIDIA continues to innovate across an even broader range of technologies critical to the future of healthcare. This includes everything from helping doctors deliver more accurate diagnosis with AI, optimizing patient dosage, analysing massive cohort studies with deep learning, and empowering medical imaging system providers and healthcare software developers to deliver higher productivity solutions. GPUs also enable AR or VR assisted robotic surgery, bring sophisticated AI-based diagnostic tools to mobile devices, and accelerate time from insight to discovery and drug development and regulatory approval.
NVIDIA Quadro offers the graphics and compute performance required to deliver state of the art medical imaging systems, drive ultra-high-resolutions and HDR (High Dynamic Range) clinician workstation displays, and the ability to deliver AR (Augmented Reality) and VR (Virtual Reality) solutions in even the most closely controlled regulatory environments. Deep Learning, a form of AI (Artificial Intelligence) is profoundly changing the way basic research, clinical diagnoses, and externalities such as lifestyle differences, personal genomic variation, and age (among other factors) can guide treatment options and produce the best patient outcome. Select NVIDIA Quadro boards, such as the RTX series, offer dedicated Tensor cores that are optimized for the training required to develop Deep Learning systems based on DNN (Deep Neural Network) techniques, and deliver the inferencing performance required to deliver timely results.
NVIDIA’s latest Turing architecture make the NVIDIA Quadro RTX series the most important innovation in computer graphics in more than a decade and makes possible a new generation of solutions that allow life sciences and healthcare tools to simulate vital processes at unprecedented speeds, and bring the rapidly growing power of AI, Deep Learning, Machine Learning and Machine Vision to a broad array of life sciences and healthcare tasks or disciplines.
Deep Learning (Artificial Intelligence) Game Changer for Healthcare Industry Deep Learning is being adopted in clinical research and clinical decision making. AI is being utilized in many situations to improve clinician accuracy and most importantly improved patient outcomes. Deep learning relies on GPU acceleration, for training (development) and inferencing (decision making) of Deep Neural Networks, and NVIDIA Quadro professional GPUs such as the GP100, GV100, and the new NVIDIA Quadro RTX 8000, RTX 6000, and the RTX 5000 implement AI-specific Tensor cores necessary to power the next generation of AI/Deep learning applications with the performance, reliability and scalability you need.
NVIDIA embedded GPU solutions are designed for incredible performance and power efficiency while meeting the highest quality and reliability standards. Every NVIDIA Quadro board is designed, built and tested by NVIDIA to the mission-critical quality standards demanded by healthcare solution and systems providers. In addition to traditional PCIe (expansion slot) form factor products, PNY and NVIDIA can offer NVIDIA Quadro GPUs in MXM form factor offerings that are ideal for embedded solutions.
Applications like surgical simulation, diagnostic imaging, patient care management, rehabilitation, and health/lifestyle management are bringing advanced augmented and virtual reality to the healthcare market. Teaching medical professionals and students using AR or rehearsing complex surgical procedures in virtual environments are completely changing the way VR is being used to teach and practice healthcare. Virtual Reality creation and consumption requires the highest-performance graphics to deliver the smoothest, most immersive and life-like VR experiences. Only VR Ready NVIDIA Quadro graphics boards have the level of performance and capabilities essential for the best possible VR experiences across professional applications.
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Properly managed, AI can help automate the most mundane and repetitive tasks, enabling physicians and providers to focus on their goal: more time on patient care. This whitepaper discusses the adoption of AI, and outlines the challenges and promise of AI in healthcare.
ENHANCING DIAGNOSTIC QUALITY AND PRODUCTIVITY WITH AI
Whether a diagnostician, radiologist, or oncologist, a significant part of the life of a physician is spent examining images and writing reports about them. Through imaging analysis, AI-based systems can help automate this process to help reduce their workloads.
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