Southampton researchers developed an AI that surpassed radiologists in detecting hard-to-see airway obstructions on chest CT scans.
Key Details
- 1AI tool developed at University of Southampton detects radiolucent airway foreign bodies on chest CT.
- 2In study of 70 CT scans (14 positive for radiolucent FBA), radiologists detected 36% of cases; AI detected 71%.
- 3Radiologists had 100% precision but lower recall, while AI had 77% precision (some false positives).
- 4AI's F1 score (74%) exceeded that of radiologists (53%).
- 5Model tested on over 400 patient scans across three cohorts; aims to support, not replace, radiologists.
- 6Study published in npj Digital Medicine; research collaboration included UK and China.
Why It Matters
AI support can significantly improve detection of subtle, life-threatening foreign bodies in airways that are often missed on standard imaging, enhancing patient safety and outcomes. This work highlights the growing role of AI as an assistive tool in challenging radiological diagnoses.
Source
EurekAlert
Related News
•EurekAlert
AI Repurposes Routine CT Scans for Osteoporosis Detection
AI algorithms can extract bone density data from routine CT scans to identify osteoporosis, enabling opportunistic screening.
•EurekAlert
AI Method Automates X-ray Absorption Spectroscopy for Material Analysis
Researchers have developed an AI-based approach to automate and enhance the analysis of X-ray absorption spectroscopy (XAS) data for materials science.
•EurekAlert
Zero-Cost EHR-Based AI Tool Scales Dementia Detection in Primary Care
A zero-cost, EHR-integrated AI tool significantly boosts dementia detection in primary care clinics without adding clinician workload.