Video from RSNA 2014: Dr. David C. Levin on trends in radiology

Dec 1, 2014

Artificial Intelligence Ai Global Communication Network 400

Most FDA-cleared AI medical devices not tested on patient outcomes

August 19, 2026

Low-quality axial T2-weighted MRI scans with gradient-weighted class activation mapping. The low-quality MRI scans (top row) show blurred structures and artifacts making zonal and capsule boundaries indistinguishable. On the same scans with gradient-weighted class activation map overlays (bottom row), red indicates regions that were most heavily weighted by the deep learning model toward the low-quality prediction.

AI framework could improve MRI quality control in prostate cancer

August 19, 2026

Nominations Are Open — 2026 Minnies

Nominations Are Open — 2026 Minnies

August 6, 2026

$Artificial intelligence (AI) assistance facilitates correct fracture identification in cases initially missed by human readers. A representative case is shown using anteroposterior radiographs in a 29-year-old male patient with wrist trauma (suspected nondisplaced transverse scaphoid fracture). The reader’s initial unaided assessment (top) resulted in a missed fracture, whereas with AI assistance (bottom), the fracture was correctly identified. The green box represents the fracture location as predicted by the AI tool, the blue box represents the reference standard annotation, and the red dots represent individual reader annotations.$

AI fracture detection device validated across three European hospitals

August 18, 2026

Most FDA-cleared AI medical devices not tested on patient outcomes

By Amerigo Allegretto

Of the 1,059 FDA-cleared devices used in radiology, three had a registered trial.

August 19, 2026

Artificial Intelligence Ai Global Communication Network 400

AI framework could improve MRI quality control in prostate cancer

By Amerigo Allegretto

The framework uses a DL model trained on low- and high-quality MR images and helped improve radiologist accuracy.

August 19, 2026

Low-quality axial T2-weighted MRI scans with gradient-weighted class activation mapping. The low-quality MRI scans (top row) show blurred structures and artifacts making zonal and capsule boundaries indistinguishable. On the same scans with gradient-weighted class activation map overlays (bottom row), red indicates regions that were most heavily weighted by the deep learning model toward the low-quality prediction.

New immuno-PET tracer shows promise in lung cancer

Molecular imaging can provide whole-body visualization and quantitative assessment of PD-L1 expression.

August 18, 2026

(A) Ga-68 NK224 PET/CT maximum intensity projection image (left), axial PET/CT images (center), and axial CT images (right) in a 43-year-old female participant with lung adenocarcinoma show lesions in the right cerebellum (blue arrow), right frontal lobe (red arrow), and sternum (green arrow) with low, intermediate, and high tracer uptake, respectively. Photomicrographs (scale bar, 100 μm) with hematoxylin-eosin (H&E) staining (center bottom) and programmed death ligand 1 (PD-L1) immunohistochemical (IHC) staining (right bottom) show high PD-L1 expression in the sternal lesion (tumor proportion score ≥ 50%).

AI fracture detection device validated across three European hospitals

No differences in AI performance were observed across centers, and AI assistance was associated with higher reader sensitivity.

August 18, 2026

Artificial intelligence (AI) assistance facilitates correct fracture identification in cases initially missed by human readers. A representative case is shown using anteroposterior radiographs in a 29-year-old male patient with wrist trauma (suspected nondisplaced transverse scaphoid fracture). The reader’s initial unaided assessment (top) resulted in a missed fracture, whereas with AI assistance (bottom), the fracture was correctly identified. The green box represents the fracture location as predicted by the AI tool, the blue box represents the reference standard annotation, and the red dots represent individual reader annotations.

Radiology Partners unit Mosaic petitions FDA on imaging AI regulation

By AuntMinnie.com staff writers

The petition seeks clarity on the regulation of AI vision language models used for diagnostic medical image analysis.

August 18, 2026

Artificial Intelligence Ai Medical Healthcare Tools 400

FDA issues discussion paper on GenAI medical devices

By AuntMinnie.com staff writers

The paper covers risk assessment, pre-market evaluation, and considerations around foundation models and agentic AI systems.

August 18, 2026

CT for breast radiotherapy detects ischemic heart disease risk

As survival after early-stage breast cancer improves, cardiovascular disease has emerged as an increasingly prominent competing risk in older women.

August 17, 2026

MWA may have long-term benefits for renal cell cancer patients

By Amerigo Allegretto

MWA with CT or CEUS guidance leads to "excellent" 10-year survival rates and with minimal complications.

August 17, 2026

Radiation-related cancer mortality higher for U.S. flight crew

By Amerigo Allegretto

Results point to prolonged exposure to cosmic radiation at commercial flight attitudes.

August 17, 2026

Airplane Takeoff 400

AI system cuts DEXA turnaround time, improves reports

Median report creation and turnaround times dropped to under one minute.

August 14, 2026

PAE effective in men over 80 years old

Findings support PAE as an important minimally invasive treatment option for elderly patients who are nonsurgical candidates.

August 14, 2026

Prostate Imaging2

Prone positioning may benefit women undergoing PBI

By Amerigo Allegretto

Prone positioning may lead to lower heart and lung doses and lower rates of acute dermatitis.

August 14, 2026

Radiation Therapy Suite 400

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