COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System
arxiv(2024)
摘要
Computer-aided diagnosis (CAD) systems stand out as potent aids for
physicians in identifying the novel Coronavirus Disease 2019 (COVID-19) through
medical imaging modalities. In this paper, we showcase the integration and
reliable and fast deployment of a state-of-the-art AI system designed to
automatically analyze CT images, offering infection probability for the swift
detection of COVID-19. The suggested system, comprising both classification and
segmentation components, is anticipated to reduce physicians' detection time
and enhance the overall efficiency of COVID-19 detection. We successfully
surmounted various challenges, such as data discrepancy and anonymisation,
testing the time-effectiveness of the model, and data security, enabling
reliable and scalable deployment of the system on both cloud and edge
environments. Additionally, our AI system assigns a probability of infection to
each 3D CT scan and enhances explainability through anchor set similarity,
facilitating timely confirmation and segregation of infected patients by
physicians.
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