Medicine and Health

Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

C. Jin, W. Chen, et al.

Discover a groundbreaking AI system developed by Cheng Jin and colleagues, designed for rapid COVID-19 detection through chest CT scans. With impressive accuracy, this deep convolutional neural network outperforms radiologists and offers speedy diagnosis, making it a revolutionary tool in medical imaging.

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Abstract

This paper presents an AI system for rapid COVID-19 detection using chest CT scans. The system, a deep convolutional neural network, was trained and evaluated on a large dataset of over 10,000 CT volumes from various pneumonia types and healthy controls. The system achieved high accuracy (AUC of 97.81% on the test cohort), outperforming five radiologists in reader studies, while being significantly faster. The study also compared CT and X-ray performance and included an interpretation of the network's decision-making process.

Publisher

Nature Communications

Published On

Oct 09, 2020

Authors

Cheng Jin, Weixiang Chen, Yukun Cao, Zhanwei Xu, Zimeng Tan, Xin Zhang, Lei Deng, Chuansheng Zheng, Jie Zhou, Heshui Shi, Jianjiang Feng

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