A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19

Wang, Tianming; Chen, Zhu; Shang, Quanliang; Ma, Cong; Chen, Xiangyu; Xiao, Enhua

doi:10.3390/diagnostics11101924

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A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19

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Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China

Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China

Molecular Imaging Research Center, Central South University, Changsha 410008, China

Author to whom correspondence should be addressed.

Academic Editor: Alessandro Russo

Diagnostics 2021, 11(10), 1924; https://doi.org/10.3390/diagnostics11101924

Received: 14 September 2021 / Revised: 10 October 2021 / Accepted: 14 October 2021 / Published: 18 October 2021

(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)

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Abstract

Chest X-rays (CXR) and computed tomography (CT) are the main medical imaging modalities used against the increased worldwide spread of the 2019 coronavirus disease (COVID-19) epidemic. Machine learning (ML) and artificial intelligence (AI) technology, based on medical imaging fully extracting and utilizing the hidden information in massive medical imaging data, have been used in COVID-19 research of disease diagnosis and classification, treatment decision-making, efficacy evaluation, and prognosis prediction. This review article describes the extensive research of medical image-based ML and AI methods in preventing and controlling COVID-19, and summarizes their characteristics, differences, and significance in terms of application direction, image collection, and algorithm improvement, from the perspective of radiologists. The limitations and challenges faced by these systems and technologies, such as generalization and robustness, are discussed to indicate future research directions. View Full-Text

Keywords: machine learning; deep learning; artificial intelligence; medical imaging; COVID-19

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MDPI and ACS Style

Wang, T.; Chen, Z.; Shang, Q.; Ma, C.; Chen, X.; Xiao, E. A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19. Diagnostics 2021, 11, 1924. https://doi.org/10.3390/diagnostics11101924

AMA Style

Wang T, Chen Z, Shang Q, Ma C, Chen X, Xiao E. A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19. Diagnostics. 2021; 11(10):1924. https://doi.org/10.3390/diagnostics11101924

Chicago/Turabian Style

Wang, Tianming, Zhu Chen, Quanliang Shang, Cong Ma, Xiangyu Chen, and Enhua Xiao. 2021. "A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19" Diagnostics 11, no. 10: 1924. https://doi.org/10.3390/diagnostics11101924

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A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19

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