
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

Source
Radiology Business
Related News

XGBoost Outperforms Logistic Regression for Lung Cancer Risk Prediction
XGBoost-based lung cancer risk prediction model shows greater accuracy than logistic regression in a large screening cohort.

GPT-4o Outperforms Radiologists in CT Protocoling With Prompt Engineering
GPT-4o, with prompt engineering, selected optimal abdominal/pelvic CT protocols more accurately than radiologists without increasing inappropriate selections.

GPT-4o Surpasses Radiologists in CT Protocol Selection Using AI
GPT-4o, a large language model, demonstrates superior performance to radiologists in protocoling CT scans when provided with appropriate context.