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Avoiding the ED cuts urgent CT turnaround time by half
This is the first reported pilot of an expedited outpatient direct-to-CT imaging program designed to promote ED avoidance.
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VLMs miss most lung nodules on chest x-rays
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Patient-friendly radiology reports improve family comprehension
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Ultrasound MinnieCast, Episode 14: Weathering the sonographer shortage
August 7, 2026
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Liver Cancer 400
Most histotripsy procedures used for metastatic disease treatment
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Imaging turnaround times continued to climb in 2024
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Cases of the Week
Check out our Cases of the Week!
34-year-old man with anomaly on cardiac CT revisited
A 34-year-old man presented for a contrast-enhanced cardiac CT.
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Sonographer
Ultrasound MinnieCast, Episode 14: Weathering the sonographer shortage
CT
Avoiding the ED cuts urgent CT turnaround time by half
Digital X-Ray
VLMs miss most lung nodules on chest x-rays
MRI
Union complains about GE HealthCare labor dispute
Breast
DBT-based foundational model classifies breast density
Ai Head
AI
Can LLMs fill the communication gap with referring clinicians?
AI
DeepHealth lands FDA nod for breast ultrasound AI software
AI
Radiologists can identify three out of four AI-generated images
AI
Radiology dominates thirty years of FDA AI device approvals
Womens Imaging
Incorrect AI suggestions influence reader performance on mammography
Money Bills 400
Digital X-Ray
Nanox raises $8M in registered direct offering
People in the News
Goodarzian named radiologist-in-chief named at Children's Hospital LA
Molecular Imaging
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Ultrasound
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Enterprise Imaging
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Practice Management
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RSNA launches 2026 Knee Abnormality Detection AI Challenge
The challenge will focus on musculoskeletal MRI and combine medical images with multilingual radiology reports.
Patient-friendly radiology reports improve family comprehension
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DBT-based foundational model classifies breast density
By Amerigo Allegretto
DBT-DINO showed strong performance in classifying breast density from DBT images.
August 4, 2026
(A) Free-response receiver operating characteristic (FROC) curve for DBT-DINO and DINOv2 (Meta AI) on the detection task. DINOv2 achieved higher sensitivity than DBT-DINO across most false-positive thresholds. (B) Detection rates of DBT-DINO and DINOv2 for lesions that were ultimately found to be benign (n = 70) and lesions that were found to be cancerous (n = 66). Error bars represent 95% CIs estimated via patient-level bootstrapping with 1000 repetitions. Both models showed similar detection rates for cancerous lesions, whereas DINOv2 detected more benign lesions than DBT-DINO. (C) Example bounding box predictions for DBT-DINO and DINOv2 on the detection test set. Each image is a single two-dimensional section from a three-dimensional digital breast tomosynthesis volume; the first column shows a mediolateral oblique view, and the second and third columns show craniocaudal views. Both models struggled to detect very small lesions, such as the 3-mm-diameter lesion shown in the first column. FP = false positive.
Liebel-Flarsheim recalls Optiray CT contrast agent
By AuntMinnie.com staff writers
The CT contrast agent may contain particulate matter comprising polyethylene, other plastic materials, stainless steel, and glass.
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Can LLMs fill the communication gap with referring clinicians?
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LLMs could potentially help address multiple persistent pain points in radiology workflow.
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