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

Source
AuntMinnie
Related News

Deep Learning AI Outperforms Radiologists in Detecting ENE on CT
A deep learning tool, DeepENE, exceeded radiologist performance in identifying lymph node extranodal extension in head and neck cancers using preoperative CT scans.

Patients Favor AI in Imaging Diagnostics, Hesitate on Triage Use
Survey finds most patients support AI in diagnostic imaging but are reluctant about its use in triage decisions.

AI Projected to Reshape Radiologist Workload But Not Eliminate Jobs
Stanford researchers predict AI could reduce radiologist hours by up to 49% over the next five years, though workforce size is likely to remain stable due to rising imaging demand.