Authors: Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias, Dimitris Nikitopoulos, Stefanos Kollias

Published on: March 10, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2403.06242

Summary

• What is new: Integrating a state-of-the-art AI system for analyzing CT images to provide infection probabilities for COVID-19, enhancing both the speed and efficiency of detection.
• Why this is important: The need for faster and more efficient detection of COVID-19 through medical imaging.
• What the research proposes: A novel AI system capable of automatically analyzing CT images for swift detection of COVID-19, capable of running on cloud and edge environments.
• Results: Successfully addressed challenges such as data discrepancy and security, and demonstrated time-effective and scalable deployment, with added explainability features.

Technical Details

Technological frameworks used: nan

Models used: Classification and segmentation components

Data used: 3D CT scans

Potential Impact

Healthcare providers, cloud computing services, medical imaging companies

Want to implement this idea in a business?

We have generated a startup concept here: CovidScanAI.