Liz Carey

Based in Birmingham, AL, Liz writes feature articles about science, medicine, and business. She spent her early days in news before moving into continuing medical education, employee health and safety, and the business of home healthcare. Prior to joining AuntMinnie.com, Liz spent five years covering medical laboratory and pathology business, regulatory, and scientific affairs. Liz is interested in the needs of physician teams and the health of our healthcare systems.

Podcast Network

Podcast: Pandharipande talks about leadership as Penn Radiology chair

What is the field of radiology looking for?

June 8, 2026

Keeping Up With The Radiologists Podcast Thumbnail

Administration

Radiology job market report casts doubt on U.S. radiologist shortage

Report reveals where and why radiology jobs are hard to fill.

June 8, 2026

Molecular Imaging

Radiopharmaceutical manufacturers report uneven FDA inspections

RMTA lays out radiopharmaceutical regulatory and payment policy issues.

June 4, 2026

Imaging Informatics

Radiologists estimate time savings with advanced radiology reports

Philips Enterprise

Survey-driven insights into the impact of interactive multimedia reporting, plus practical tips to take forward when planning to implement a system.

June 2, 2026

David Vining Md Anderson Longitudinal Record Imr 2026

Imaging Informatics

Interactive multimedia radiology reporting improves physician consults

Philips Enterprise

Radiologists and referring physicians who are successfully using IMR advanced radiology reporting share their perspectives.

June 2, 2026

Risk Management

Podcast: Telltale signs your MRI safety standards are inadequate

Check your MRI safety sense.

June 2, 2026

The Invisible Force Podcast Album Cover Auntminnie Jan 2026 Thumbnails

SNMMI 2026

SNMMI: CAIX-targeted PET tracer detects clear cell renal cell carcinoma

Researchers aim for "more precise molecular map" for kidney cancer.

June 1, 2026

A 68Ga-RCC78 PET scan (C) of a patient four years post-radical right nephrectomy. During follow-up, new nodules were detected in the left adrenal gland and kidney. CAIX-targeted scan clearly visualized metastatic lesions in the mediastinum, pancreas, adrenal gland, and kidney (SUVmax > 30), demonstrating the tracer's ability to maintain high tumor uptake despite significantly reduced abdominal background.

SNMMI 2026

SNMMI: Novel radiotracer effectively images overactive adrenal glands

University of Michigan researchers report on first-in-human study of SOAT1-targeted nevanimibe C-11.

June 1, 2026

Static PET-CT image of patient with hypercortisolism taken at 60 minutes post-injection.

Digital X-Ray

Study highlights overconfidence in medical decision-making

Researchers expose metacognitive commonalities and differences between experienced radiologists and nonradiologists.

May 26, 2026

Bar graphs show mean success (blue) and confidence (orange) according to diagnostic response (lesion present or absent, shown as “present” and “absent,” respectively) and next-step decision (submit, additional tests, and consult a senior) for each group (radiologists and nonradiologists). Error bars indicate standard errors of the mean. Lesion-absent diagnoses were more prone to error and overconfidence than were lesion-present diagnoses.

Interventional

IR role-specific radiation study suggests reducing apron thickness

Thinner aprons for interventional radiology personnel may reduce risk of musculoskeletal disorders without compromising radiation safety.

May 22, 2026

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Artificial Intelligence Ai Global Communication Network 400

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

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

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

(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%).

New immuno-PET tracer shows promise in lung cancer

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