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.
The ACR Appropriateness Criteria 2026 update provides imaging guidelines for suspected or confirmed diffuse lung disease, covering initial evaluation, acute exacerbation, and surveillance.
New expert consensus framework for symptomatic B3 breast lesions: assess concordance, lower excision threshold for discordant/palpable lesions, conservative management for concordant non-atypical lesions, and risk-based surveillance for atypia.
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…
National Turnaround Time Trends for Medicare Fee-for-Service Beneficiaries: Updated Through 2024.
A semi-automated CFD pipeline using deep-learning MRI assessed carotid wall shear stress in 100 Rotterdam Study participants. Lumen segmentation Dice 0.89±0.02 and inter-rater ICC 0.89–0.98, demonstrating feasibility for large-scale studies.
Nuclear medicine trainees can use AI to draft study guides, generate questions, and simulate patients, but must critically verify AI outputs to avoid inaccurate, biased information that undermines learning. Effective use requires goal setting, self-effort, and faculty review.
Nuclear medicine educators can practically apply AI through prompt engineering, chain-of-thought prompting, retrieval-augmented generation, custom tool development, and multimedia creation to build scalable, equitable, and personalized learning.
AI tools in nuclear medicine education must be grounded in learning theories and ethical guardrails: structured prompting, retrieval-augmented generation, and expert review safeguard human judgment, privacy, and critical thought.
Artificial Intelligence-Derived CT Fractional Flow Reserve: Implementation Challenges Beyond Accuracy in Resource-Constrained Healthcare Systems.
Number Needed to Test in Diagnostic Comparative Effectiveness Research: Implications for Evaluating the Utility and Value of Artificial Intelligence.
MRI can distinguish proliferative-class hepatocellular carcinoma (HCC), tied to microvascular invasion and poor outcomes, from non-proliferative-class HCC. Features like rim arterial phase hyperenhancement and necrosis signal aggressive disease, while capsule appearance and intr…
A Delphi survey of IR attendings achieved >75% agreement on priority tiers for 21 of 34 common interventional radiology procedures, suggesting timing of high, medium, or low priority. Implementing this triage tool could improve treatment times.
In a study of 261 men, apparent diffusion coefficient (ADC) maps achieved an AUC of 0.996 for distinguishing transition zone prostate cancer from benign prostatic hyperplasia, significantly higher than synthetic MRI T1 (AUC 0.928) and T2 (AUC 0.907) mapping.
A new deep learning model (QQ-F) maps oxygen extraction fraction from a single MRI sequence without protocol-specific retraining, showing significantly higher lesion-to-normal tissue contrast than prior method QQ-NET in dementia patients with different echo time acquisitions.
A deep learning model using chest radiographs (CXR-CKD5) predicted 5-year incident chronic kidney disease (CKD) with an external validation C-index of 0.713 (95% CI 0.697-0.729). Combined with clinical data, C-index reached 0.734. Performance was strongest in non-diabetic patien…
DeepHealth receives FDA 510(k) clearance for AI-driven breast ultrasound automation.
CT-selected thrombectomy shows a 1-year benefit in large-core stroke.
FDA clears GE HealthCare’s Invenia ABUS Prime and StreamVue for automated breast ultrasound supplemental screening in dense breasts. Company says AI-assisted review has 93% sensitivity, 33% faster interpretation, and 40% faster acquisition.
Staffing shortages and a failing HVAC system at the Washington, D.C. VA Medical Center have caused MRI scanner outages and longer turnaround times for exams like amyloid PET scans. Return-to-office mandates prompted radiologists to leave before the VA reversed the policy.
Plus Therapeutics rebrands as Cerenome
Imricor launches cardiac catheterization vertical
GE HealthCare emphasizes new advances in breast ultrasound.
Konica Minolta expands its Exa platform with Exa Teleradiology, combining workflow orchestration, AI-assisted reporting (MD.ai, Radpair), and a unified browser-based reader, offered at a single per-study fee.
Surveillance imaging doesn't improve pancreatic cancer survival
RSNA has launched a new knee MRI AI challenge, the first to use real-world diagnostic radiology reports alongside images, training on over five thousand MRIs from sixteen global sites. Total prizes: seventy-seven thousand dollars.
<![CDATA[When the Clinical History is the Equivalent of a Low Signal-to-Noise Ratio ]]>
This educational resource on CTisus reviews pancreatic conditions that can simulate carcinoma on imaging, aiming to help radiologists avoid diagnostic pitfalls.
At 90, Dr. Harold Moskowitz—who interpreted >100,000 X-rays—volunteers weekly to teach UConn medical students and radiology residents, driven by his passion. He co-founded the Society of Breast Imaging.
Remote Swing Shift Radiologist: 1 week on/1 week off OR 1 week on/2 weeks off. Up to $75,000 in hiring incentives for 2-10p ET and $150,000 for 5p-1a ET Job Opening in Nationwide
On serial coronary CT angiography, a random forest model predicted coronary artery calcification progression with AUC 0.81 (95% CI 0.78-0.84), outperforming a traditional model (AUC 0.64, 95% CI 0.59-0.68). Baseline calcium score and plaque burden were key predictors.
A Neuroimaging Biomarker for Hippocampal Network Dysfunction in Alzheimer's Disease.
An ensemble machine learning model integrating clinical and MRI features achieved an area under the curve of at least 0.85 for predicting one-year ASIA Impairment Scale grades after traumatic cervical spinal cord injury in an external test set of 98 patients. The model also pred…
A 2D ResNet model automatically classified anterior talofibular ligament (ATFL) tears on MRI with 92.6% accuracy, detecting abnormal ligaments with 95.0% sensitivity and 93.6% specificity. Performance was comparable to a junior radiologist, but the workflow was faster (3 min vs…
