Intelligent and decentralized, Intel AI creates the future of smart healthcare

With the continuous development of artificial intelligence and digital technology, the medical industry is gradually moving towards intelligence, decentralization and precision, and these new technologies are also deeply reshaping the medical industry. From medical image-assisted diagnosis, disease prediction, health management to hospital information construction and the creation of smart hospitals, digital technology is playing an increasingly important role, bringing more intelligent, efficient and accurate diagnosis and treatment methods to improve the current problems in the medical industry such as uneven resource allocation, shortage of medical staff, and fragmentation of medical IT systems.

In recent years, Intel has worked with many partners to actively promote the innovative integration of artificial intelligence and the digital medical industry. It has launched many innovative solutions in medical testing, medical diagnosis, remote consultation, and hospital informationization. For example, Intel and Huiyi Huiying launched an AI full-cycle health management system for breast cancer, and jointly built a precision medicine platform with BGI. In the process of promoting digital medicine, Intel has helped upgrade traditional medical equipment, improve diagnostic efficiency, and promote the development of precision medicine with its software and hardware advantages and rich products and solutions. At the same time, Intel helps build smart hospitals, improve hospital IT operation and maintenance efficiency, and promote the development of hospital management towards informationization and intelligence.

In the current medical field, there are problems such as a lack of doctors and insufficient examination equipment, so there is a strong market demand for the use of artificial intelligence to assist medical diagnosis. In order to promote the widespread application of artificial intelligence in actual work and life, Intel has launched the Intel® OpenVINO™ artificial intelligence application development software toolkit, which is based on the Intel® Xeon® series processor, Intel® FPGA and Intel® Movidius visual processor combination hardware platform, providing a highly flexible and comprehensive artificial intelligence product portfolio and a variety of optimized end-to-end complete solutions. Based on this solution, partners in the medical field can give full play to their expertise in their respective fields and promote the implementation and further development of artificial intelligence in smart healthcare.

CPU+AI drives the upgrade of traditional medical care

Medical diagnosis is an important part of the medical process. The application of artificial intelligence solutions in medical diagnostic equipment will greatly improve the efficiency and accuracy of medical diagnosis. Deploying products such as Intel® Xeon® Scalable Processors and Intel® OpenVINO™ Toolkit can improve deployment flexibility and control large-scale deployment costs.

Lepu AI-ECG Technology

Lepu Medical focuses on developing and designing digital electrocardiogram (ECG) diagnostic devices and services for clinical and home use using deep learning technology. Lepu Medical uses Intel solutions to accelerate the deployment of artificial intelligence (AI) for next-generation ECG diagnostic devices and services. These include Intel® Xeon® processors, Intel® Movidius™ Myriad™ X visual processors, and Intel® OpenVINO™ toolkit.

Through the optimization of Intel solutions and related products, Lepu Medical has realized that the complete AI-ECG model can be deployed on any end of the cloud and device according to the needs of the actual operation scenario. It is no longer necessary to re-migrate and optimize the Lepu AI-ECG model for different application scenarios, thereby maintaining the consistency and accuracy of the model and greatly optimizing the cost-effectiveness of the product.

The AI-ECG Platform, an artificial intelligence electrocardiogram automatic analysis and diagnosis system software independently developed by Lepu, has been approved by the US FDA, the EU CE certification, and the registration approval of the China National Medical Products Administration (NMPA). The remote ECG monitoring service model equipped with AI-ECG technology has currently provided high-quality and professional medical services to cardiovascular patients in more than 2,000 hospitals in 31 provinces across the country.

Hisense Medical CAS Computer Assisted Surgery System

Hisense Medical's CAS computer-assisted chest and lung surgery system can provide efficient, accurate, and concise image reconstruction and quantitative simulation analysis systems and overall solutions for precise thoracic surgery, providing a powerful auxiliary tool for clinicians to quickly and accurately diagnose and formulate plans.

Based on Intel® Xeon® Scalable processors and Intel® OpenVINO™ toolkit, Hisense Medical and Intel jointly optimized the artificial intelligence automatic segmentation and reconstruction algorithms for chest and lung CT, greatly reducing the deployment cost and flexibility of CAS computer-assisted surgery chest and lung systems within an acceptable performance index range.

Hisense CAS has achieved research and clinical results. Based on Hisense CAS, the research project "Development, Clinical Application and Industrialization of Pediatric Hepatobiliary and Pancreatic Computer-Assisted Surgery System" jointly conducted by Hisense, Qingdao University Affiliated Hospital and Fudan University Affiliated Children's Hospital won the second prize of the National Science and Technology Progress Award in 2019. At present, Hisense Medical CAS has been successfully used in more than 100 third-level and above hospitals across the country, treating more than 8,000 patients with difficult diseases.

It is worth mentioning that in terms of image processing for medical diagnosis, the CPU has extremely good performance and is very suitable for the particularity of medical scenarios. The deployment of artificial intelligence functions in hospitals is often limited to the hospital LAN, and it is difficult to utilize other resources in the public network. It is better to directly choose the CPU. The CPU has high adaptability. Taking the Hisense Medical CAS case as an example, the AI ​​algorithm running under the CPU has strong batch processing properties and less human interaction, which can allow the loss of some processing time without affecting the user experience. In addition, in addition to customized AI operations, the CPU has better performance in versatility. For example, the CPU server can effectively utilize idle resources to provide other reading rooms or operating room services, etc., and there are many application scenarios in normal times.

Computing power + solutions help build smart hospitals

For hospital IT construction, traditional medical information construction is prone to single failure and data islands. The digital upgrade of hospitals is imminent. With the development of the Internet and cloud computing, smart hospitals have become a trend. In assisting in the construction of smart hospitals, Intel has launched a medical cloud desktop solution for hospital information systems in cooperation with its partners.

Ruijie Networks Medical Cloud Desktop Solution

Ruijie Networks is a leading provider of industry information technology solutions in China. Ruijie Networks' medical cloud desktop solution, without changing the usage habits of medical workers, builds a cloud-based virtualized office platform for hospitals through the technical architecture of Intel Intelligent Desktop Virtualization (IDV) and VDI (desktop virtual infrastructure) front-end computing integration, helping information technology departments to shorten the maintenance time of hospital workstation failures and reduce the overall cost of ownership of medical terminals.

Ruijie Network's medical cloud desktop solution based on IDV adopts a centralized control and distributed operation architecture, overcoming bottlenecks such as the difficulty in centralized management of traditional PC desktops and the poor VDI desktop experience. It can also use its rapid deployment and remote maintenance features to ensure that the medical office environment is quickly put online, reduce operation and maintenance pressure, and reduce the risk of cross-infection among staff.

Hexin Chuangtian Medical Cloud Desktop Solution

Hexin Chuangtian focuses on the field of virtualized cloud computing and is a professional cloud desktop manufacturer integrating VOI/VDI/IDV. Intel and Hexin Chuangtian jointly launched a medical cloud desktop solution, which integrates Intel's Intelligent Desktop Virtualization (IDV) front-end computing technology and provides a cloud desktop solution based on the advantages of three architectures: VDI, VOI, and IDV. It effectively solves the IT operation and maintenance problems commonly found in the process of hospital information construction, such as poor peripheral compatibility, a wide variety of business systems, long service life of terminal computers, large differences in hardware types, and complex network environments.

The IDV-based Hexin Chuangtian Medical Cloud Desktop Solution can centrally operate and maintain thousands of terminals in the hospital, improve IT management efficiency, is compatible with a variety of complex peripherals and supports mobile office, can fully guarantee the continuity of hospital business, and centrally store terminal data to ensure data security, providing digital support for the construction of smart hospitals.

The medical industry has always been at the forefront of AI research and development. Frost & Sullivan, a senior American consulting firm, once concluded that "AI can improve medical outcomes by 50% while reducing medical costs by up to 50%." In this transformation, Intel will continue to explore new integrations of AI technology and the medical industry to innovate medical diagnostic equipment and services, improve the medical work system, collaborate with industry partners to innovate and actively practice, quickly promote the implementation of medical AI products, accelerate the digital upgrade of hospitals and healthcare, release more data value, and bring more value to society.