This article comes from the WeChat public account: Tencent Research Institute (ID: cyberlawrc) , author: Xu Siyan (Tencent Research Institute senior Fellow), if Gao Xuan (Tencent Research Institute research assistant), original title “digital Contagion: Replay epidemic under cutting-edge technology,” title figure from the IC photo
Review and summary: What are the pain points of anti-epidemic?
At this stage, the domestic epidemic situation has been basically controlled. The Fang cabin hospitals have successively completed their missions and assisted the medical personnel in Hubei to return to the sea. It is time to summarize the pain points exposed in the epidemic. In general, there are three major pain points in the process of anti-epidemic.
First, in the face of soaring demand, it is difficult to keep up with daily supply. In the early stage of the outbreak, medical resources in Hubei Province quickly entered a state of emergency. Faced with a rapidly growing patient population, shortages of medical staff, limited hospital beds, insufficient medical equipment, and limited pharmaceutical resources have caught the hearts of people across the country.
The second is the transmission and integration of the true information of the epidemic. After the epidemic began to ferment, the flow of related information began to appear sluggish, messages in large and small units were blocked, fragmented information was difficult to integrate, and real news was mixed with rumors. Furthermore, when there is a problem with the connection of materials, some public welfare organizations can’t present the material flow information transparently and transparently. The pain points exposed by some nodes have caused the attention of the whole people, and dishonesty has become a dark moment in the epidemic.
The third is that the effect of remote collaboration needs to be improved. Whether it is the consultation of doctors in different places during the severe epidemic, or after the Spring Festival, enterprises face many obstacles in the process of remote work during work and students face school Technical conditions and institutional arrangements need to be improved.
Focus on Digital Technology: What role does technology play in the fight against epidemic disease?
In the face of these problems in the epidemic, artificial intelligence, big data, cloud computing, blockchain and other digital technologies have provided important tools for the war epidemic under the expectation of many people, and have played an active role in the emergency management of the epidemic. The role has become a hard-core force on the front line of anti-epidemic.
Human-machine collaboration, epidemic of intelligent warfare
When the epidemic begins to appear, with the help of artificial intelligence algorithms, the time of virus detection can greatly reduce the genetic analysis time of suspected cases. In the drug development link, efficient artificial intelligence computing power is used in pharmacology and toxicology research, protein screening, new drug development, etc., which greatly accelerates the development process of new indications for old drugs and vaccines.
In the field of anti-epidemic, the more helpful AI capability is diagnostic assistance , which is currently mainly focused on medical imaging + AI analysis capabilities. Although the diagnosis of new types of pneumonia mainly requires reagents and other testing supplies, the patient’s lung images also have relatively strong features that can be judged. Based on AI technology, the traditional inspection that takes hours can be compressed in seconds. This ability effectively assists reagent testing and provides help for rapid diagnosis and filling in the shortage of medical personnel.
In Hubei, Tencent Miyingluo Local Cabin Hospital uses AI medical images to assist in CT screening of new coronary pneumonia. An average chest CT produces 300 images. It takes 5-15 minutes for a doctor to see the film with the naked eye, and with this device, the AI algorithm can only help the doctor to identify the new coronary pneumonia in only 2 seconds at the fastest, greatly improving the examination efficiency, reducing the workload of the doctor, and allowing the patient to get more Timely treatment. In addition, AI robots with visual recognition and voice interaction capabilities take part in the tasks of delivering medicines and transmitting medical supplies.
Large-scale computing power also played an important role in medical research. In the epidemic, Tencent Cloud also presented to the team of Professor Luo Haibin, School of Pharmacy, Sun Yat-sen University, Beijing Institute of Life Sciences / Tsinghua University Biomedical Cross Institute Professor Huang Niu’s laboratory provides a large amount of standard CPU computing power and object storage capacity free of charge, helping them to carry out viral drug screening and genetic calculation offline calculation tasks. In this epidemic, artificial intelligence has fully demonstrated the ability of human-machine collaboration, which has eased the pressure of unbalanced supply and demand.
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