China’s Research on COVID-19—Artificial Intelligence Applications
No.6  August 12, 2020

Artificial Intelligence (AI), as a new technology, has been applied to help fight COVID-19 in China to meet the urgent need for rapid and accurate diagnosis and reduce the risk of infection among medical staff.

As of August 5, Chinese scholars have published 281 papers in 189 journals regarding the application of AI in fighting against COVID-19. These papers focused on four aspects:
1) AI-assisted diagnosis and treatment: using AI to achieve quick and accurate diagnosis and assist treatment;
2) Modeling analysis, simulation and prediction: using AI to establish simulation models for prediction and early warning of epidemic and disease development;
3) Intelligent robots: using cloud-based intelligent robots to assist in combating the pandemic;
4) Information platforms: using big data and AI-based methodology to establish information platforms for epidemiological investigation, testing and drug use in response to COVID-19.

ZHANG Kang’s team published an article titled “Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography” in Cell. 3,777 patients’ data were used to develop an AI system that can provide accurate clinical diagnosis and prognosis of COVID-19 and aid clinicians in early clinical management and allocating resources appropriately.

LIANG Wenhua’s team published a paper titled "Early Triage of Critically Ill COVID-19 Patients Using Deep Learning" in Nature Communications. The team selected 10 patient feature indicators using machine learning algorithms by integrating data from 1,590 COVID-19 cases across 575 medical centers. A deep-learning based survival model is designed for patient triage at admission, to identify severely ill COVID-19 patients, ensuring that they receive appropriate care as early as possible and allow for effective allocation of health resources.
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