A study finds that repurposed AI detection tools in radiology could help address future pandemics more effectively.
Key Details
- 1Published in Scientific Reports, the study explores the utility of current AI systems for pandemic preparedness.
- 2Imaging modalities like chest CT and chest radiographs were critical during COVID-19.
- 3Commercially available AI software can help with screening, triage, and resource management, especially where resources are scarce.
- 4Most COVID-19 AI tools were developed after the initial surges, limiting their early impact.
- 5AI models designed specifically for COVID may have limited applicability to novel future viruses.
Why It Matters
This research highlights the potential of adaptable imaging AI for rapid pandemic response, emphasizing the importance of having flexible, broadly applicable tools ready ahead of future outbreaks. Radiology professionals and AI developers should consider ways to generalize and validate these systems beyond specific pathogens.
Source
Radiology Business
Related News
•Radiology Business
A Practical Guide to Evaluating Radiology AI Solutions
Experts propose a three-step approach for radiologists to assess and select AI imaging solutions.
•Radiology Business
New Framework Adapts Adult Radiology AI Models for Pediatric Use
Researchers created a privacy-preserving method to adapt adult-trained radiology AI models for use in pediatric populations.
•AuntMinnie
Radiomics Features Vary Between Manual and AI-Driven Segmentations
DL-based segmentations on CT and MRI show limited agreement and bias compared to manual segmentations, affecting radiomics model reliability.