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
MD Anderson Unveils New AI Genomics Insights and Therapeutic Advances
MD Anderson reports breakthroughs in cancer therapeutics and provides critical insights into AI models for genomic analysis.
•EurekAlert
UCLA Researchers Present AI, Blood Biomarker Advances at SABCS 2025
UCLA Health researchers unveil major advances in breast cancer AI pathology, liquid biopsy, and biomarker strategies at the 2025 SABCS.
•EurekAlert
SH17 Dataset Boosts AI Detection of PPE for Worker Safety
University of Windsor researchers released SH17, a 8,099-image open dataset for AI-driven detection of personal protective equipment (PPE) in manufacturing settings.