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Interventional (IR)Guideline

SIR Foundation Research Consensus Panel Sets Priorities for Acute DVT Intervention Studies

SIR Foundation research consensus panel calls for standardized acute DVT intervention endpoints: biologically informed patient selection, anatomic/physiologic metrics, validated severity tools, longitudinal biomarkers, and economic/QoL measures to advance precision and reduce po…

Journal of vascular and interventional radiology : JVIR

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Chest / ThoracicAI / InformaticsEducationTrainee

Why Radiologists Miss Lung Nodules on Chest CT and How to Reduce Misses

Small and pure ground-glass lung nodules are the ones most often missed on chest computed tomography (CT), especially near vessels or airways. Reader fatigue and bias also contribute. Knowing these patterns helps radiologists use technical and cognitive strategies to reduce miss…

AJR. American journal of roentgenology
Interventional (IR)Body / AbdominalAI / InformaticsResearch

ECG-based model predicts liver motion without additional imaging

An ECG-only deep-learning model predicted respiratory-induced liver motion with a mean absolute error of 2.83 mm during normal breathing and 4.02 mm overall, with correlation coefficients above 0.90 in eight volunteers.

International journal of computer assisted radiology and surgery
Interventional (IR)Musculoskeletal (MSK)ResearchTrainee

Osteoporosis medication after vertebral augmentation linked to 6-fold lower refracture risk

Only one-third of patients received osteoporosis medication after vertebral augmentation. The incidence of new vertebral fractures fell from 0.519 to 0.076 per person-year after starting medical management (incidence rate ratio 6.79, 95% CI 3.37-15.51), a 6-fold decreased risk.

Journal of vascular and interventional radiology : JVIR
GeneralBody / AbdominalCardiacAI / InformaticsNews

Autonomous Ultrasound Systems Advance Toward Self-Directed Imaging

Autonomous ultrasound systems using AI and robotics are now capable of self-directed image acquisition, autonomous probe adjustment, and real-time anatomy identification, potentially reducing operator variability and expanding access to ultrasound in underserved regions.

Australasian journal of ultrasound in medicine
Musculoskeletal (MSK)EmergencyAI / InformaticsResearch

Vision language models show unstable repeat fracture reads on forensic radiographs

In 300 forensic long-bone radiographs, ChatGPT-5.2 achieved 83.0% accuracy (sensitivity 70.0%, specificity 96.0%), but all three vision language models showed unstable repeat reads one month later (within-model kappa 0.131-0.622). Reproducibility, not just accuracy, needs benchm…

Tomography (Ann Arbor, Mich.)
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