A survey on artificial intelligence in chest imaging of COVID-19

chest x-ray
Credit: CC0 Public Domain

In a new article for BIO Integration journal, a group of researchers from China consider the application of artificial intelligence imaging analysis methods for COVID-19 clinical diagnosis.

The world is facing a key health threat because of the outbreak of COVID-19. Intelligent medical imaging analysis is urgently needed to make full use of chest in COVID- 19 and its management due to the important role of typical imaging findings in this disease. The authors review artificial intelligence (AI) assisted chest imaging analysis methods for COVID-19 which provide accurate, fast, and safe imaging solutions.

In particular, from X-ray and CT scans are used to demonstrate that AI techniques based on deep learning can be applied to COVID-19 diagnosis. In order to improve the performance of AI techniques, it is important to establish a database for public researches and to find a way to extract lesions accurately. Moreover, efficient deep learning models should be explored for COVID-19 applications.

It is important that multisource data can be applied to the diagnosis, monitoring, and prediction of COVID-19 as images from different imaging modalities can only show anatomical or functional information of patients with this disease. For such cases, the multisource data should include imaging findings, clinical symptoms, pathological features, blood tests, etc. In order to build analysis models purposefully and improve them, researchers can study the correlation among these datasets from different sources. This may help to maximize the value of AI in COVID-19 .

BIO Integration is a fully open access journal which will allow for the rapid dissemination of multidisciplinary views driving the progress of modern medicine.

As part of its mandate to help bring interesting work and knowledge from around the world to a wider audience, BIOI will actively support authors through open access publishing and through waiving author fees in its first years. Also, publication support for authors whose first language is not English will be offered in areas such as manuscript development, English language editing and artwork assistance.


Explore further

Follow the latest news on the coronavirus (COVID-19) outbreak

More information: Yun Chen et al. A Survey on Artificial Intelligence in Chest Imaging of COVID-19, BIO Integration (2020). DOI: 10.15212/bioi-2020-0015
Provided by Compuscript Ltd
Citation: A survey on artificial intelligence in chest imaging of COVID-19 (2020, November 11) retrieved 30 November 2020 from https://medicalxpress.com/news/2020-11-survey-artificial-intelligence-chest-imaging.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
11 shares

Feedback to editors

User comments