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BreastAI / InformaticsResearch

Lightweight Transformer Distills Spatiotemporal Radiomics for Breast Cancer Prediction

A lightweight Transformer model with knowledge distillation analyzing spatiotemporal radiomics from ultrafast DCE-MRI achieved AUC 0.959 and 92% accuracy for benign vs malignant breast lesion differentiation, an 8% improvement over conventional temporal radiomics.

Visual computing for industry, biomedicine, and art
GeneralAI / InformaticsEducationTrainee

How coordinated AI agents could reshape radiology workflows

Agentic artificial intelligence (AI) coordinates multiple tools and data sources to move beyond narrow radiology algorithms, but it lacks real-world validation and still faces reliability, scalability, workflow, explainability, bias, regulatory, and governance barriers.

Academic radiology
Neuro / Head & NeckResearchTrainee

No consensus on best CTA grading for leptomeningeal collaterals in stroke

A review of leptomeningeal collateral grading systems on single-phase CTA finds no consensus on which best captures anatomy, with high variability in reliability and feasibility; automated scoring may improve objectivity.

AJNR. American journal of neuroradiology
GeneralAI / InformaticsEducationTrainee

Prompt Engineering for Vision-Language Models in Radiology: A Practical Guide

Practical guide: for vision-language models in radiology, prompt engineering — the instructional and contextual input — is the critical lever on output quality and clinical usefulness. Covers core principles, radiologic examples, and limitations.

Current problems in diagnostic radiology
GeneralEducationTrainee

Staying Patient-Centered Beyond the Reading Room

An RSNA Unscripted episode features Jean-Pierre Tasu, MD, PhD, on how global perspective and direct patient contact can improve radiology leadership and patient outcomes.

RSNA (YouTube)
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