In a recent interview, Chris Mattern, M.D., discussed a confluence of trends that may be contributing to burnout in radiology, early retirements and a shifting preference from full-time to part-time roles in radiology.
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Study: White Women 11 Times More Likely than Black Women to Be Eligible for Supplemental Breast Cancer Screening in Pennsylvania
Lower proportions of extremely dense breasts and high BRCAT lifetime risk among Black women in comparison to White women may have resulted in a lower likelihood of eligibility for supplemental screening insurance coverage in Pennsylvania, according to new research.
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Can Deep Learning Enhance Low-Dose Chest CT Assessment of Lung Cancer Risk?
While a CT-based deep learning model demonstrated a 91 percent AUC for predicting lung cancer risk within one year, researchers noted other mixed results in a new study involving over 18,000 individuals.
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Test Event
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Wed, 08/06/2025 – 05:10
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Wednesday, August 6, 2025 – 05:10
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Watching a movie during MR imaging reduces kids' need for sedation
The findings are good news for pediatric patients, who often struggle to remain still during an MRI exam.
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White paper endorsed by ACR, SIIM stresses cybersecurity
A new white paper endorsed by the ACR and SIIM outlines strategies for practices to better protect themselves from cyber attacks…
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Is imaging being used to its full potential to diagnose dementia?
As disease-modifying therapies for various types of dementia become more available, MR and CT imaging predominate for diagnosis…
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No Cap: Gen Z Clinicians Are Changing Bedside Manner
How Gen Z doctors engage with younger patients — and how you can too. Medscape Medical News
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Headaches & Hand Hijack: A 43-Year-Old’s Struggle
MRI reveals corpus callosum atrophy and diffusion restriction, while biopsy confirms a CSF1R mutation underlying the alien limb syndrome. Medscape UK
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Dynamic AI-assisted ipsilateral tissue matching for digital breast Tomosynthesis
To evaluate whether AI-assisted ipsilateral tissue matching in Digital Breast Tomosynthesis (DBT) reduces localization errors beyond typical tumor boundaries, particularly for non-expert radiologists. The technology category is deep learning.