Huawei teamed up with partners to launch the Medical Technology Digitalization 2.0 solution in the healthcare session titled Enhancing Inclusivity to Amplify Healthcare Intelligence . This solution implements AI-assisted diagnosis and intelligent quality control, facilitating precision healthcare and hierarchical diagnosis and treatment.
Attendees at the launch ceremony were Sun Pengfei, vice president of Huawei’s Global Public Sector Division; Hou Yu , founder and CEO of MED Imaging AI; Zhang Yu , general manager of Wanxiang Medical Technology Co. Ltd; Sun Fenglei, director of product strategy at Beijing DeepWise Technology Co. Ltd; and Liu Zheng , director of business development at KFBIO.
AI for accurate and consistent diagnosis and treatment
Medical imaging data accounts for 80% of clinical data. AI is used to fully explore the value of this data, which is critical to clinical diagnosis, decision-making, and disease prevention. Integrating AI, computing, storage, and networking, Huawei‘s Medical Technology Digitalization 2.0 solution works with innovative applications from industry partners to implement AI-based quality control and diagnosis, greatly improving the quality and efficiency of healthcare services. So far, this solution has been implemented in projects such as the Shenyang Fourth People’s Hospital .
In the field of medical imaging, this solution can intelligently identify and evaluate image quality. The AI quality control accuracy reaches 98%, improving image quality. In addition, the solution supports intelligent segmentation, detection, and quantitative analysis of image data, and can automatically complete AI analysis and auxiliary diagnosis, effectively reducing the rate of missed diagnoses. The diagnosis time is reduced by 40%, greatly increasing the efficiency of diagnosis and treatment. For ultrasound, this solution uses digital and intelligent imaging devices running on OpenHarmony. With the AI-based device-edge synergistic architecture deployed in the center, AI and low-latency video transmission can realize real-time, AI-assisted comprehensive diagnosis and centralized quality control across the region. Ultrasound quality control can now achieve full coverage instead of being limited to spot checks. The end-to-end delay of AI-assisted diagnosis in all areas is less than 150ms, facilitating the continuous improvement of the quality and efficiency of ultrasound diagnosis across the region.
SOURCE: Businesswire