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PediatricEducationTrainee

Balancing hybrid work with mentorship in pediatric radiology groups

Hybrid/remote work aids recruitment amid a pediatric radiologist shortage, but groups must prioritize fairness, frequent multidirectional communication, and avoid overemphasis on individual wRVUs to prevent erosion of informal mentorship and trainee education.

Pediatric radiology
Body / AbdominalAI / InformaticsResearch

AI analysis of pre- and post-EVAR CT detects endoleaks with AUC 0.85 at external validation

An AI pipeline automatically analysed pre- and post-EVAR CTAs in 372 patients, segmenting anatomy with Dice >0.9, detecting endoleaks with AUC 0.85 on external validation, and measuring AAA diameter within 2 mm error (R≥0.97), matching interobserver variability.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Interventional (IR)Body / AbdominalAI / InformaticsResearchTrainee

ML ensemble predicts post-TIPS encephalopathy and rebleeding risk at 2 and 6 years

Interpretable machine learning ensemble predicted 2-year hepatic encephalopathy after TIPS with AUC 0.960 (external 0.914) and variceal rebleeding with AUC 0.966, outperforming conventional scores (AUC 0.528–0.563). Top predictors: diabetes and recent bleeding.

Clinical and translational gastroenterology
Interventional (IR)Research

Stepwise Incision-Free Ligation for AV Access Flow Reduction: 13-Patient Initial Study

In a retrospective study of 13 hemodialysis patients, the stepwise incision-free lumen-calibrated ligation (SILL) technique reduced mean access flow from 2516 to 921 mL/min (P<0.001) with technical success in all patients and clinical success in 84.6%, no complications.

Journal of vascular and interventional radiology : JVIR
Neuro / Head & NeckBody / AbdominalAI / InformaticsResearch

PACS-Integrated AI Predicts Neck Lymph Node Spread in Papillary Thyroid Cancer on CT

A PACS-integrated AI tool for CT-based cervical lymph node assessment in papillary thyroid carcinoma achieved AUCs of 0.948 (internal) and 0.943 (external) for metastasis prediction, and significantly improved diagnostic accuracy among junior radiologists (p<0.05).

Journal of imaging informatics in medicine
GeneralDevices & AI clearances

Elucid Bioimaging's PlaqueIQ Cleared by FDA

FDA cleared Elucid PlaqueIQ (Elucid Bioimaging) via the 510(k) pathway. The device is a radiological image processing system (product code LLZ).

U.S. FDA
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