The 2026 Chinese lung cancer guideline adds AI and opportunistic screening in low-dose CT, expands molecular testing, and updates treatment regimens for NSCLC, including perioperative, consolidation immunotherapy, and targeted therapy for EGFR, ALK, KRAS, HER2, and MET alteratio…
On 76 test cases, the AI framework achieved Cobb angle MAE 2.4°, Lenke curve type accuracy 0.895, and reduced review time from 8.2 to 1.5 min/case.
PSAD remained below 0.11 ng/mL² across all ages in 1037 healthy German men, contrasting with continuously rising PSA. 95th percentile reference: PV 51.39 mL, PSA 2.79 ng/mL, PSAD 0.071 ng/mL².
A multiphase CT angiography spot sign identified high-risk intracerebral hemorrhage: hematoma expansion occurred in 25/51 (49%) phase-1, 13/28 (46%) phase-2, and 4/9 (44%) phase-3 spots versus 12/71 (17%) with no spot sign.
Your Donations in Action: Zofia M. Lasiecka, MD, PhD
Aero Simulation, Inc. (ASI) Employer Profile
Cortechs.ai wins FDA clearance for NeuroQuant PET
AI framework could improve MRI quality control in prostate cancer
RSNA R&E Foundation Allocates $4.5 Million for 2026 Medical Imaging Research
IU Health launches theranostics center
RSNA R&E Foundation awards $4.5M in grants in 2026
Norroy secures FDA breakthrough therapy, fast track status for PET imaging agent
Radiation Detection Company launches new dosimeter
Most FDA-cleared AI medical devices not tested on patient outcomes
Deep Learning Model Accurately Segments Infarct on Cardiac MR
<![CDATA[Emerging CAIX PET Agent Garners FDA Breakthrough Therapy and Fast Track Designations for ccRCC]]>
Advocacy Drives Patient Access to Breast Cancer Screening. #PatientAdvocacy
Complete left pectoralis major and minor absence on MRI, with normal pectoral nerves on MR neurography, points to congenital agenesis—a classic Poland syndrome hallmark often accompanied by syndactyly and other anomalies.
<![CDATA[Can DSC MRI-Derived Oxygen Ejection Fraction Predict Diffusion Reversal in Patients Treated for Acute Ischemic Stroke?]]>
ACR Seeks Member Input on FDA GenAI Discussion Paper
Enhanced Precision in Liver Stiffness Measurement with 3D MR Elastography
Radiomic Features from Baseline PET-CT Scans Indicate Risk in Primary Mediastinal B-Cell Lymphoma
Risk Assessment of Thyroid Nodules: A Practical Guide
RSNA Research & Education Foundation approved over $4.5M in new grants, funding 79 projects—including a fast MRI technique that detects breast cancer in 5 minutes and an open-source AI simulator for radiologist training.
Reply to "The Black Box of Vision-Language Models in Radiology: A Call for Explainability".
Is There a Radiologist in the Stadium? The High-Stakes World of Pro-Sports Imaging.
In 110 patients, photon-counting CT 40-keV VMIs increased accuracy for muscle invasion vs conventional polychromatic images (reader 1: 86.4% vs 66.4%) and specificity (83.1% vs 56.6%), with similar sensitivity (96.3% for both).
Embracing Artificial Intelligence During a Phase of Enlightenment.
Prostate MRI in Patients With Incidental Prostate Cancer Diagnosed by Transurethral Resection of the Prostate: Addressing a Guideline Gap.
From Standalone Accuracy to Clinical Assistance for Vision-Language Models: Further Evidence Needed.
A deep learning model (Faster R-CNN) trained on 2,434 panoramic radiographs achieved an [email protected] of 0.75 for detecting dental restorations/appliances; small-target recall improved from 0.59 to 0.81. Implants had highest precision (0.93). Braces precision was 0.32 due to artifacts…
3D Slicer planning with AI segmentation ranked six candidate transvenous mediastinal biopsy trajectories in a woman with superior vena cava syndrome; biopsy under fluoroscopy succeeded with no procedural complications.
An ensemble combining VGG16 and U-Net++ classified lung nodules on CT as benign, malignant, or normal with 96% accuracy, outperforming the individual models on standard classification metrics.
