COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System

• URL: http://arxiv.org/abs/2403.06242v2
• Date: Tue, 12 Mar 2024 10:54:57 GMT
• Title: COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System
• Authors: Demetris Gerogiannis and Anastasios Arsenos and Dimitrios Kollias and Dimitris Nikitopoulos and Stefanos Kollias
• Abstract summary: We showcase the integration and reliable and fast deployment of a state-of-the-art AI system designed to automatically analyze CT images. The suggested system is anticipated to reduce physicians' detection time and enhance the overall efficiency of COVID-19 detection.
• Score: 16.1664846590467
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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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