Solution Brief High Performance Computing Intel® Xeon® Scalable Processors Intel oneAPI Deep Neural Network Library

Finding Value in AI-aided Smart Healthcare Critical Inferencing Work Accelerated by Intel® Xeon® Scalable Processors on AMAX Deep Learning All-In-One Systems using Winning Health Medical Imaging AI software AMAX Deep Learning All-in-One Solution • Intel® Xeon® Gold processors • Intel Distribution of OpenVINO™ toolkit • Intel Solid State Drives (SSDs) Deploying AI-assisted applications to support the healthcare community can be immediately impactful. A collaboration between Winning Health Technology Group and AMAX, working with engineers at Intel, resulted in the successful combination of AI technology with medical imaging. This combination will assist in the diagnosis of more than twenty common health conditions that can be identified in medical images. The AMAX Deep Learning All-In-One system, equipped with Intel® Xeon® Scalable processors and Winning Health Medical Imaging AI applications, delivers fast and accurate AI-assisted diagnostic results. These results are used as preliminary medical reports to assist doctors in their diagnosis of conditions. Best of all, these systems help keep costs in check, without sacrificing results, by optimizing performance on existing computing infrastructure. Challenge The healthcare industry has increasingly found value in artificial intelligence (AI) technology, but usage can pose challenges in both the integration of the technology with other systems, and with infrastructure spending priorities. As medical imaging technology has evolved, there has been continuous growth in the use of medical imaging devices. A corresponding explosive growth in the generation of medical imaging data, resulting in increased demand for the analysis of medical images. Fortunately, AI can help address these needs. With AI technology, medical institutions can effectively improve diagnostic accuracy and efficiency, shorten wait time, and reduce treatment cost. The appeal is clear: Lives are made better when systems alert doctors to critical conditions, and thereby aid in prioritization to avoid delays in treatment. One challenge is that AI-assisted applications have significant performance needs. Hospitals, doctors’ offices, and other healthcare facilities already make extensive use of computer systems for patient care. Controlling healthcare costs is always a goal. Therefore, it is far better if AI-assisted applications can utilize existing computing resources in order to avoid the added costs of investing in new computing systems. Healthcare organizations are always looking for solutions that fit into their environment and budget, without sacrificing the quality of patient care. How to harness existing computing resources for deep learning deployment is thus a very important topic. Case Study | Finding Value in AI-aided Smart Healthcare Solution Winning Health brings AI technology to medical imaging applications with its flexible infrastructure. The company’s solution is based upon AMAX Deep Learning All-In-One systems equipped with Intel Xeon Gold 6240 Processors, Intel SSDs, the open source OpenVINO toolkit, and the open source oneAPI Deep Neural Network Library (oneDNN). Result Healthcare providers already depend upon Intel processor-based systems in their hospitals and other facilities. Healthcare providers will be delighted to see the performance and effectiveness that Intel Xeon Scalable processors bring to AI-assisted healthcare thanks to the collaboration with Winning Health and AMAX. Thanks to collaboration between medical experts, AMAX, Winning Healthcare, and Intel, optimization and innovation in both software and hardware led to significant efficiency improvements in the Winning Health Medical Imaging AI solution using AMAX Deep Learning All-In-One. “Powerful Intel Xeon Scalable processors in the existing data center run HPC tasks’” Tony Yu, AMAX Deep Learning All-In-One director observed. “It is a thrill to explore the AI capability