Diagnostic Imaging spoke with Dr. Johnsey Leef III, a radiologist with Charleston Area Medical Center in Charleston, WV, about how the industry is responding to the call for lower dose imaging and what his department is doing to address the issue.
[[{"type":"media","view_mode":"media_crop","fid":"11552","attributes":{"alt":"Johnsey Leef III","class":"media-image media-image-left","id":"media_crop_7278503878259","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"219","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"margin: 5px; float: left;","title":" ","typeof":"foaf:Image"}}]]Diagnostic Imaging spoke with Dr. Johnsey Leef III, a radiologist with Charleston Area Medical Center in Charleston, WV, about how the industry is responding to the call for lower dose imaging and what his department is doing to address the issue.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).