This edition covers AI models for fracture detection, mortality prediction, and more, along with new research using x-ray and DEXA modalities.
Key Details
- 1Children's Hospital of Philadelphia developed an AI model for detecting pediatric physeal fractures via x-ray.
- 2AI models based on chest x-ray were studied for predicting COPD mortality risk and screening for achalasia.
- 3Three commercial AI fracture detection tools were compared head-to-head for x-ray performance.
- 4DEXA research questioned claims of bone density improvement and showed advances in 3D DEXA for prostate cancer and diabetes patients.
- 5A study compared radiosurgery vs. embolization for brain AVMs, and AR was found to improve ergonomics in interventional radiology.
- 6Environmental impact of x-ray and fluoroscopy was assessed, and possibly the earliest x-ray images were discovered.
Why It Matters
These updates demonstrate the expanding role of AI in clinical radiology workflows and the ongoing development of advanced imaging technologies, which could improve diagnostic accuracy and patient outcomes. The studies also touch on important practical issues like sustainability and ergonomics in radiology.
Source
AuntMinnie
Related News
•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.
•Cardiovascular Business
AI Model Dramatically Enhances Severe Heart Attack Detection via ECGs
Queen of Hearts AI model outperforms standard care in detecting severe heart attacks from ECGs.
•AuntMinnie
Machine Learning Model Enhances Risk Stratification for Prostate MRI
Researchers developed machine learning models that outperform PSA testing in predicting abnormal prostate MRI findings for suspected prostate cancer.