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Chest / ThoracicPediatricAI / InformaticsResearchTrainee

Deep learning model accurately detects neonatal pneumothorax on supine chest X-rays

AI model detects neonatal pneumothorax on supine chest radiographs with AUC 0.975, sensitivity 87.6%, specificity 95.3%. PPV 68.5%, NPV 98.5%. Grad-CAM matched clinical side in 91.3% of right-lung vs 67.6% left-lung cases. External validation needed.

Pediatric radiology
Nuclear / MolecularNeuro / Head & NeckResearchTrainee

68Ga-DOTA-WL12 PET/CT Outperforms FDG for Predicting Chemo-Immunotherapy Response in HNSCC

Pre-treatment 68Ga-DOTA-WL12 PET outperformed 18F-FDG PET for predicting programmed death-ligand 1 (PD-L1) expression (AUC 0.92 vs 0.69) and chemo-immunotherapy response (responder SUVmax 2.7 vs non-responder 1.3; independent predictor OR 12.42) in head and neck squamous cell ca…

European radiology
GeneralNewsBrief

LCSR Available Reports

LCSR Available Reports

American College of Radiology (ACR)via Google News
GeneralEducationTrainee

Smaller CT pixels don’t always mean better spatial resolution

Reducing CT field of view while keeping matrix constant yields smaller pixels (e.g., 512 matrix, 200-mm FOV = 0.39 mm vs 400-mm FOV = 0.78 mm), but true spatial resolution may not improve. Finer spatial sampling does not guarantee more anatomical detail.

Radiology Tutorials (YouTube)
GeneralAI / InformaticsNews

Proposed rubric flags unsafe AI-generated patient radiology reports

A rubric for evaluating AI-generated patient-friendly radiology reports was developed. When an AI model applied it to 480 reports, distribution decisions agreed with reference-standard decisions 88.1% of the time, suggesting a quality-assurance safeguard.

Radiology Business
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