The study found that AI-CAD can improve breast cancer detection in screening programs and support radiologists’ interpretations…
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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Mirai shows promise in detecting interval breast cancers
The AI risk prediction model Mirai showed promise in detecting interval breast cancers from screening mammograms.
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Mirai shows promise for detecting interval breast cancers
The AI risk prediction model Mirai showed promise for detecting interval breast cancers from screening mammograms.
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LLMs rapidly evolving in nuclear medicine
Large language models (LLMs) are widely used to handle the large volume of text data generated in nuclear medicine.
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Stanford AIDE lab proposes radiology AI safety monitoring model
EMM was developed to monitor FDA-cleared radiological AI devices as a complement to retrospective monitoring.
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U.S. FDA may need to clarify SaMD validation standards
In a video interview, a Dana-Farber Cancer Institute expert describes what the ‘rigor spectrum’ is in validation study designs…
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AI fracture detection tools tested head-to-head
All models showed moderate to high performance for straightforward fracture detection but limited accuracy in complex scenarios…
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AI chatbots aren't giving patients safety warnings for imaging exams
The inclusion of medical disclaimers in AI responses regarding imaging exams declined significantly between 2022 and 2025.
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False-positive DBT findings differ between AI, radiologists
False-positive DBT findings differed between AI and radiologists in population-based breast cancer screening.
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AI not cost-effective for breast cancer screening
AI is not cost-effective for breast cancer screening, even with reductions in mortality, false-positive cases, and false-negative…