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Neuro / Head & NeckGuidelineTrainee

ASFNR Issues Imaging Framework for Posterior Circulation Large Vessel Occlusion Stroke

ASFNR clinical state-of-practice: For posterior circulation large vessel occlusion stroke, use noncontrast CT to exclude hemorrhage, CT angiography to identify occlusion, and MRI with DWI as reference standard. Imaging scores like PC-ASPECTS help select patients for thrombectomy.

AJNR. American journal of neuroradiology
Chest / ThoracicGeneralGuidelineTrainee

ACR Appropriateness Criteria for imaging surveillance of indolent lung cancer

ACR Appropriateness Criteria for indolent lung cancer: For patients with slow-growing subsolid nodules or atypical cysts where surveillance is chosen over intervention, imaging follow-up aims to detect changes that alter management, with modality selection guided by accuracy and…

Journal of the American College of Radiology : JACR

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Nuclear / MolecularBody / AbdominalAI / InformaticsResearch

Optimal data extraction range for deep learning-based gated PET/CT

In a phantom study, a 30-40% data extraction percentage for data-driven gating combined with deep learning PET reconstruction (AiCE-i) yielded optimal balance between image noise and respiratory motion effects.

Nuclear medicine communications
Musculoskeletal (MSK)AI / InformaticsResearch

Multimodal LLM accurately segments soft tissue sarcomas on MRI in zero-shot setting

Gemini 3.0 achieved mean Dice 0.935 for zero-shot STS segmentation (radiologist inter-rater Dice 0.949). Tumor size from masks had ICC 0.976 vs 0.922 for direct LLM estimate (p=0.027), with bias -0.5 mm vs -5.0 mm. Segmentation-derived measurements are more reliable.

Skeletal radiology
Body / AbdominalAI / InformaticsEducationTrainee

Beyond Morphology: Imaging Biological Features of Liver Metastases

Imaging evaluation of liver metastases is evolving from purely morphologic assessment to biologically informed techniques. Advanced imaging, radiomics, and artificial intelligence can assess tumor biological heterogeneity, guide therapy, and predict outcomes.

Abdominal radiology (New York)
Chest / ThoracicAI / InformaticsResearch

Uncertainty-aware chest X-ray report generation using conformal prediction

Applying conformal prediction to vision-language model report drafting for chest X-rays, high-confidence outputs showed significantly better agreement with radiologist impressions (P<0.001) and higher classification AUROC (P<0.05).

Journal of imaging informatics in medicine
GeneralInterventional (IR)AI / InformaticsEducation

Radiology Innovations in France: 2026 Update

French radiology is advancing with innovations in dual-energy and photon-counting CT, AI for cancer diagnosis, and interventional radiology, enhancing diagnostic accuracy and patient outcomes.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Chest / ThoracicGeneralGuidelineTrainee

ACR Appropriateness Criteria for imaging surveillance of indolent lung cancer

ACR Appropriateness Criteria for indolent lung cancer: For patients with slow-growing subsolid nodules or atypical cysts where surveillance is chosen over intervention, imaging follow-up aims to detect changes that alter management, with modality selection guided by accuracy and…

Journal of the American College of Radiology : JACR
GeneralAI / InformaticsNews

AI Scribe Safety Requires Downstream Evaluation, Not Just Draft Quality

Current AI scribe assessments focus on initial note drafts, but signed clinical notes are dynamic—errors can compound as content is copied, coded, and re-ingested by downstream tools. Safety must be measured by tracking these cascading effects across the patient record.

JMIR medical informatics
Interventional (IR)Musculoskeletal (MSK)Education

A geroscience framework for non-surgical knee OA treatments and GAE

For knee OA, weight loss, exercise, and education remain core interventions for preserving joint healthspan. Genicular artery embolization may help in synovitis-dominant cases but lacks consistent sham-controlled evidence.

GeroScience
Chest / ThoracicMusculoskeletal (MSK)AI / InformaticsResearch

Time-series CT radiomics deep learning model predicts post-SBRT rib fractures in NSCLC

A deep learning model using longitudinal CT radiomics predicted rib fracture risk after stereotactic body radiotherapy in NSCLC patients, achieving an AUC of 0.792 on validation. The model-predicted high-risk group had a hazard ratio of 10.82 compared to the low-risk group.

International journal of radiation oncology, biology, physics
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