Daniel K. Sodickson, MD, PhD, explores how the use of AI could create smart medical scanners with “memory.”
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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Radiomics models based on pituitary MRI predict GHD
The model can help determine if growth hormone deficiency (GHD) is the cause of children’s short stature.
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EVT improves outcomes in stroke patients over age 90
Advanced age alone should not preclude consideration of endovascular thrombectomy (EVT), a study suggests.
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Most patients confused when trying to read radiology reports
Many patients report feeling confused, anxious, or afraid when it comes to understanding their radiology reports.
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Week in Review: False-negative breast cancer screenings | MRI predicts diabetes | Medicare claims hold changes
The rise in false-negative breast cancer screening exams and the use of MRI for predicting diabetes in obesity patients were the…
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Ghost scans problematic in POCUS trauma exams
Rates of ghost scans — where POCUS images are not saved — vary by imaging facility, but are high overall in emergency settings…
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PSMA-PET may require selective use to be cost-effective
Yale University researcher developed a decision-analytic model to estimate lifetime cost outcomes associated with PSMA-PET.
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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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DWI with fat correction identifies liver scarring in MASLD patients
An MRI technique that corrects for fat in the liver appears to perform comparably to MRE for detecting fibrosis.
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New procedure treats chronic pain in toe joints
Median pain scores dropped for 27 patients from nine to one after five months.