AMVC 2020: Leading radiology's fight against COVID-19

May 14, 2020

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The appearance of a new coronavirus in Wuhan, China, in late 2019 raised alarm bells in Hong Kong, and radiologists in the city quickly mobilized to prepare for the pandemic. Dr. Michael Kuo of the University of Hong Kong shares their experiences and what they learned.

In the May 1 presentation from AuntMinnie.com's 2020 Virtual Conference, Kuo discusses how hospitals and public health authorities in Hong Kong learned from the outbreak of severe acute respiratory syndrome (SARS) in 2002-2003, which informed the city's response to SARS-CoV-2. He also discusses the use of advanced technology to fight COVID-19, such as artificial intelligence (AI), which could provide an early warning of future outbreaks.

Kuo is founding director of the Medical Artificial Intelligence Lab Program in the department of diagnostic radiology at the University of Hong Kong. He also founded Ensemblehealth.AI.

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AI proposed to help radiologists detect child abuse injuries

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Test set images with ground truth (teal, red) and model predictions (green, yellow), with true positives (green), false positives (yellow), and false negatives (red). Predictions from the 6x-YOLOv5 ensemble trained on histogram equalized input images with a y = 0.2 avalanche scheme, achieving 0.536 precision, 0.795 recall, and 0.723 F2 score. Image and caption courtesy of Scientific Reports.

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Researchers explain the data preparation and structure of a proposed CNN-based deep learning model using mammography features to determine breast tumor staging. The image is available for use under a Creative Commons license: CC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International.

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F-18 FDG and Ga-68 FAPI-46 images of a 51-year-old woman with adenocarcinoma with lepidic growth pattern in right upper lobe. (A) Maximum-intensity-projection PET images. The lesion had F-18 FDG uptake below blood pool level but was strongly Ga-68 FAPI-46-positive. CT-guided biopsy led to pathologic diagnosis of adenocarcinoma, and the patient was treated by stereotactic body radiation therapy because of functional inoperability. Image courtesy of the Journal of Nuclear Medicine.

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