AI For Social Good | Making medical services more efficient

As a new international organization focusing on the Internet, the World Internet Conference (WIC) is committed to building a global Internet platform for extensive consultation, joint contribution and shared benefits. In order to advocate technology-for-social-good concept, guide global parties concerned to use AI technology to bridge the digital divide and promote human well-being, WIC launched the World Internet Conference AI for Social Good Action Plan and solicited the projects globally. The first round of 33 projects received from 23 enterprises and organizations cover cultural exchanges, biodiversity conservation, medical health, accessible transformation, education and training, livable environment and other fields. These projects reflect the development trend where close combination of voice recognition, image recognition, natural language processing, situational awareness and other AI technologies with specific social good scenarios provides more diversified solutions to constantly improving social welfare capabilities.

Intel supports the partner KFBIO to develop rapid film reading and auxiliary diagnostic tools using image recognition technology. Based on built-in artificial intelligence acceleration function of the Intel® xeon® expandable processor, KFBio, as one of Intel’s partners, has developed the core algorithms for pathological image recognition by optimizing the workload and applying big data and deep learning framework to help professional pathologists mark positive and negative on the digital image of cervical cytology and conduct a large number of sample training and testing to constantly enrich the knowledge base. These efforts provide auxiliary diagnosis for early stage screening of cervical cancer and reduce the recognition time for each slice to less than 1 minute. Furthermore, Intel® Deep Learning Boost (Intel® DL Boost), which adopts Vector Neural Network Instruction (VNNI), effectively improves the performance of AI inference, greatly reduces the deployment cost of artificial intelligence applications, accelerates the implementation speed of cervical cancer screening applications and enriches application scenarios, improves diagnosis and treatment efficiency, and promotes the wide accessibility of medical resources.

Baidu and Sanmed Biotech use image recognition technology to develop rapid film reading and auxiliary diagnostic tools. Baidu AI fundus image analysis system is able to identify and screen a number of eye diseases within ten seconds, such as diabetic retinopathy, glaucoma, macular disease, etc., with the accuracy rate reaching more than 90% and greatly improving the diagnostic accuracy and medical efficiency. Sanmed Biotech, in collaboration with China Academy of Information and Communications Technology, applies deep learning technology to the clinical application of computational cytology to solve the industry’s pain points, including difficult interpretation and low accuracy and efficiency of rare cells in tumor liquid biopsy. Combined with medical CT imaging AI analysis technology, they can effectively improve the accuracy of analysis of benign and malignant lung nodules with a diameter of 5-10mm, achieving a comprehensive accuracy of over 90%. The analysis of multi-omics data based on AI technology helps to significantly improve the diagnostic efficiency of Stage Ia lung cancer, and the 5-year survival rate of lung cancer patients further improves through "early detection and treatment", thus laying a good foundation for achieving the goal of reducing social and personal medical burden.

SenseTime uses AI technology to care for patients suffering from Amyotrophic Lateral Sclerosis (ALS). SenseTime AI intelligent nursing system is based on computer vision technology and multi-spectral imaging sensor. By monitoring the dense optical flow of chest undulation, the system accurately measures respiratory rate, body temperature, heart rate and other indicators. In case of emergency, it can detect and send warning signals within 3 seconds. In this way, it can realize 24-hour non-contact care for patients with ALS who have difficulty in moving, swallowing and breathing, and bring practical improvement and help to improve the lives of the patients.

Alibaba DAMO Academy uses speech perception for cognitive function screening. Alibaba has developed AI multimodal cognitive screening tools by using voice recognition, natural language processing, computer vision and other technologies to interact with the elderly through voice communication, so that volunteers without professional medical training can also quickly perform relevant screening. With this tool, the sensitivity of dementia screening reaches 100%, the specificity reaches 80%, and the time spent is shortened from 20 minutes to 7-10 minutes.

China Branch of BRICS Institute of Future Networks (BIFN) contributes to the fight against cancer for half of the world’s population. Relying on the support of China's authoritative Grade A tertiary hospitals, relevant government departments and relevant institutions in the BRICS countries, the BIFN uses big data analytics, image recognition and other technologies, based on tumor epidemiology and genomics, to carry out auxiliary diagnosis and prediction modeling for tumor imaging and pathological data, and builds a cooperation platform in combination with intelligent medical solutions such as intelligent surgical robots and intelligent screening of new drugs. As a rewarding exploration of "AI for Social Good” (AI4SG), this project showcases the proactive role BRICS countries play in international aid, helping to improve the image of emerging countries including BRICS receiving medical aid. The project will also be promoted to BRICS+countries in time, making positive contributions to global health security.

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2022年7月12日，世界互联网大会国际组织正式成立，总部设于中国北京。我们将致力于搭建全球互联网共商共建共享平台，推动国际社会顺应信息时代数字化、网络化、智能化趋势，共迎安全挑战，共谋发展福祉，携手构建网络空间命运共同体。

WIC was formally established on July 12, 2022. It is headquartered in Beijing, China. We are ready to work with friends who are committed to promoting the development of the Internet to build a global Internet platform for extensive consultation, joint contribution and shared benefits, promote the international community to follow the trend of digitization, networking and intelligence in the information age, address challenges for common development, and build a community with a shared future in cyberspace.

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