ECR 2026 and RSNA 2025: Radiology Highlights
ECR 2026 drew a record 22,418 attendees under “Rays of Knowledge” while RSNA 2025 focused on “Imaging the Individual.” Review the top research presentations, AI developments, industry announcements, and guideline updates from both major radiology meetings.
MRI Gadolinium Contrast Safety 2026: NSF Risk, Retention & Patient Guidance
MRI gadolinium contrast safety in 2026: understand NSF risk, brain retention concerns, kidney screening, pregnancy considerations, and practical patient guidance.
The Evolving Role of the Radiologist in the AI Era
Radiologists who embrace AI will thrive, not be replaced. Review the 2025-2026 consensus on augmentation, new competencies, workforce implications, and how residency training is evolving for the AI era.
Radiomics and Radiogenomics in Medical Imaging
Radiomics and radiogenomics extract quantitative features from medical images to predict molecular markers and treatment response. Review the current evidence, IBSI standardization efforts, and clinical translation barriers in 2026.
AI-Enhanced Low-Dose CT Lung Cancer Screening
AI-enhanced low-dose CT lung cancer screening improves nodule detection sensitivity to 86–98% while reducing false positives. Review the latest evidence on deep learning for malignancy risk prediction, Lung-RADS integration, and NLST/NELSON long-term outcomes.
AI Stroke Detection & Triage 2026: Faster CT Alerts and Clinical Workflow
AI stroke detection and triage in 2026: how CT-based alerts help prioritize suspected LVO, speed up treatment decisions, and support emergency radiology workflow.
Deep Learning MRI Reconstruction in 2026
Deep learning-based MRI reconstruction can reduce scan times by 50-85% while maintaining or improving image quality. A 2026 review of vendor implementations, clinical evidence, and practical guidance for radiologists.
Foundation Models in Medical Imaging: What Radiologists Need to Know
Foundation models are reshaping radiology — from Aidoc’s FDA-cleared CARE1™ to MedSAM and BiomedCLIP. A 2026 review of what radiologists need to know about these adaptable, multi-task AI systems.
AI Mammography and Breast Cancer Screening in 2026
AI-powered mammography is transforming breast cancer screening — from MIT’s Mirai risk model to the MASAI trial showing 64% radiologist workload reduction with higher cancer detection. A 2026 clinical review.
AI in Radiology Clinical Workflows in 2026
A comprehensive review of AI integration into radiology workflows in 2026: 1,100+ FDA-cleared algorithms, foundation models, workflow automation, and practical guidance for radiologists navigating the AI era.