Articles & Research
Peer-reviewed clinical insights in cardiology and radiology. Every article includes full reference citations to primary literature.
Cardiology
GLP-1 Receptor Agonists and Cardiovascular Outcomes: A 2026 Clinical Review
A comprehensive review of GLP-1 receptor agonists and their cardiovascular benefits beyond weight management, including MACE reduction, heart failure outcomes, and implications for clinical practice in 2026.
Cardiology
AI-Powered ECG Interpretation: From Hidden Signals to Clinical Decisions
How AI-powered electrocardiogram analysis is detecting hidden cardiac diseases — from asymptomatic LV dysfunction to concealed atrial fibrillation — and reshaping clinical practice in 2026.
Cardiology
Renal Denervation for Resistant Hypertension: From Controversy to Comeback
Renal denervation has re-emerged as a viable treatment for resistant hypertension after pivotal SPYRAL and RADIANCE trials demonstrated consistent blood pressure reductions. A 2026 clinical review of evidence, patient selection, and practical guidance.
Cardiology
TAVR in Low-Risk Populations: Five-Year Durability and Outcomes Data
5-year data from Evolut Low Risk and PARTNER 3 confirm TAVR is noninferior to surgery in low-risk aortic stenosis patients. A 2026 review of outcomes, durability, real-world evidence, and lifetime management considerations.
Cardiology
Heart Failure with Preserved Ejection Fraction: Current Treatment Landscape in 2026
HFpEF finally has its own therapeutic pillars. A 2026 review of SGLT2 inhibitors, finerenone (FINEARTS-HF), GLP-1 RAs (STEP-HFpEF, SUMMIT), and emerging combination strategies for heart failure with preserved ejection fraction.
Cardiology
Atrial Fibrillation Management Update: Early Rhythm Control
EAST-AFNET 4 transformed AF management by proving early rhythm control reduces cardiovascular events. A 2026 review of the evidence, pulsed field ablation, the 2024 ESC AF guidelines, and practical implementation.
Cardiology
Remote Patient Monitoring in Cardiology: Wearables, Data, and Outcomes
Remote patient monitoring with wearables is transforming cardiology — from AF detection on smartwatches to AI-driven HF decompensation prediction. A 2026 review of evidence, devices, clinical applications, and implementation guidance.
Cardiology
Coronary CT Angiography as First-Line Testing for Chest Pain
SCOT-HEART 10-year data confirms coronary CT angiography reduces MI by 21% when used to guide stable chest pain management. A 2026 review of the CT-first strategy, AI plaque analysis, and guideline recommendations.
Cardiology
Cardiovascular Risk in Women: Pregnancy Complications as Predictors
Pregnancy complications — preeclampsia, gestational diabetes, preterm delivery — are now recognized as major predictors of lifelong cardiovascular risk in women. A 2026 review of the evidence, AHA guidelines, and post-pregnancy surveillance strategies.
Cardiology
AHA 2026 Cardiovascular Statistics: What Clinicians Need to Know
The 2026 AHA Heart Disease and Stroke Statistics Update reveals 915,973 CV deaths in 2023, stroke as the 4th leading cause of death, and a new CKM syndrome chapter. Key takeaways for clinicians.
Radiology
AI in Radiology 2026: From Research Labs to Clinical Workflows
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.
Radiology
Deep Learning for Mammography: Personalized Breast Cancer Screening
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.
Radiology
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.
Radiology
MRI Acceleration with Deep Learning Reconstruction: Cutting Scan Times by 50%
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.
Radiology
AI-Assisted Stroke Detection and Triage: Viz.ai and Beyond
Radiology
Low-Dose CT Lung Cancer Screening: AI-Enhanced Nodule Detection
Radiology
Radiomics and Radiogenomics: Extracting Hidden Information from Medical Images
Radiology
The Evolving Role of Radiologists in the AI Era
Radiology
Contrast Agent Safety: Next-Generation MRI Contrast Agents and the Future of Gadolinium
Radiology
ECR 2026 and RSNA 2025 Highlights: What Radiologists Need to Know
No articles found
Try adjusting your search terms or filters to find what you’re looking for.
Stay Current with Clinical Research
Subscribe to receive new articles and research updates in cardiology and radiology delivered to your inbox weekly.