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RSNA 2025 Showcases Breakthroughs in Medical Imaging

Compelling research from the second call for abstracts highlights exciting advances in the specialty

RSNA 2025 logo with dates

RSNA 2025 will showcase these advances through dynamic scientific presentations in the Learning Center Theaters. Check the meeting program and don’t miss the chance to dive into the latest ideas and investigations in these developing areas.

Opportunistic Screening: Enhancing Diagnostic Impact from Routine Imaging

  • Opportunistic Cardiovascular Risk Assessment From Routine Chest CT: AI-Driven Coronary Artery Calcium Scoring and Aortic Valve Analysis
  • Artificial Intelligence in Oncology: Opportunistic Screening for Incidental Pulmonary Embolism and Vertebral Compression Fractures on Oncologic Assessment CT Scans
  • AI Enhanced Silicosis Screening From Chest Radiographs: An Opportunistic Approach for Occupational Lung Disease
  • Opportunistic Bone Health Screening: Deep Learning Analysis of Chest Radiographs for Osteoporosis and Osteopenia Detection
  • Breast Arterial Calcification on Mammograms: Natural History Analysis Using Artificial Intelligence in Over 10,000 Women

Next-Generation Imaging: Advances in Low- and Non-Contrast Techniques

  • Photon-Counting Detector CT With Quadruple-Low Protocol in Aortoiliac CTA: Objective and Subjective Assessment in Virtual Monoenergetic Images
  • Feasibility of Ultra-Low Field MRI in an Alzheimer’s Disease Clinic: Baseline and Monitoring MRIs During Anti-Amyloid Immunotherapy
  • Quantitative CT Imaging of Coronary Plaque Based on Effective Atomic Number Image Using Photon-Counting CT
  • Low-Dose Contrast Media Protocols in CT: Clinical Performance, Economic Value and a Step Forward a More Sustainable Radiology
  • Next-Generation Virtual Fluoroscopy Image from Non-Contrast CT-Optimizing Cardiac Catheterization in Acute Myocardial Infarction

Translating Innovation: Radiologist-Industry Collaboration in Clinical Integration of New Technologies

  • Comparative Evaluation of Commercial AI Algorithms for Fracture Detection on Musculoskeletal Radiographs
  • Radiologist-Industry Collaboration in Developing and Deploying an Efficient Clickable Reporting Tool for Screening Mammography: Real-World Evidence of Workflow Impact
  • Assessment of Large Multimodal Reasoning Model Performance and Chain-of-Thought Quality in Chest Radiograph Interpretation
  • Explainable AI for Radiology Report Generation: Integrating Visual Grounding and Temporal Comparison for Clinical Acceptance
  • Beyond BI-RADS: Enhancing Breast MRI Accuracy and Biopsy Avoidance with Kaiser Score and ADC Integration

Imaging-Guided Oncologic Therapies: From Histotripsy to Theranostics and Beyond

  • Predictive Factors of Local Recurrence and Overall Survival in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization
  • Noninvasive Deep Learning System for Preoperative Diagnosis of Follicular-Like Thyroid Neoplasms using Ultrasound Images: A Multicenter, Retrospective Study
  • Photo-Triggered Engineered Microbes for CT-Guided Cancer Therapy
  • Rigid vs. Deformable Image Registration in 3D Assessment of Microwave Ablations: A Retrospective Analysis
  • The New Era of Non-Invasive Treatment for Focal Liver Tumours with Histotripsy-Early Results and Experience from Asia