A commercially available AI tool increases the rate of incidental abdominal aortic aneurysm detection on CT scans.
Key Details
- 1The AI algorithm automatically measures aortic lumen size to flag possible AAAs on CT imaging.
- 2Incidental AAAs are reportedly detected in about 4% of emergency abdominal CTs, though some estimates are much higher.
- 3AI opportunistic screening aims to catch AAAs frequently missed in busy acute settings without disrupting radiologists' workflow.
- 4Few previous studies have evaluated the performance of such tools in large clinical settings.
Why It Matters
Radiologists in emergency and acute care settings may overlook incidental findings like AAAs, which can be life-threatening if untreated. Implementing AI-powered detection can improve patient safety and outcomes by identifying at-risk individuals earlier and more reliably.
Source
Health Imaging
Related News
•AuntMinnie
AI Advancements and Studies Highlighted in Digital X-Ray Insider
This edition covers AI models for fracture detection, mortality prediction, and more, along with new research using x-ray and DEXA modalities.
•AuntMinnie
AI Model Accurately Detects Pediatric Physeal Fractures on X-Ray
A deep learning model accurately identifies hard-to-detect physeal fractures in children's wrist x-rays.
•AuntMinnie
Adult-Trained Radiology AI Models Struggle in Pediatric Imaging
Adult-trained radiology AI models often underperform when applied to pediatric imaging data, according to a systematic review.