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'RadGPT' may help patients understand radiology reports
By Amerigo Allegretto
A novel educational tool derived from a large language model (LLM) may help patients better understand their imaging reports.
June 12, 2025
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Patient navigation lifts breast, cervical cancer screening rates
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Breast and cervical cancer screening increased by about 14% and 15%, respectively, when patient navigation services were provided in the study.
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By Amerigo Allegretto
Applying an apparent diffusion coefficient (ADC) cutoff based on MRI with diffusion-weighted imaging may improve breast lesion detection.
June 10, 2025
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Study explores PPVs of LI-RADS major feature combinations
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Most major feature combinations in the same CT/MRI LI-RADS categories have similar positive predictive values (PPV) for liver cancer in high-risk patients.
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CT colonography more cost-effective than DNA stool testing
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CT colonography for cancer screening is more effective, both clinically and cost-wise, than multitarget stool DNA testing.
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Pediatric POCUS shows accuracy in diagnosing septic arthritis
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Point-of-care ultrasound (POCUS) performed in the pediatric emergency department has high accuracy in identifying hip effusions.
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High-res ultrasound useful for evaluating forearm lacerations
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High-resolution ultrasound may be used for quickly assessing forearm lacerations, according to research published June 8 in Injury.
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PET/CT supports use of infliximab for cardiac sarcoidosis
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FDG-PET/CT imaging has provided new evidence that infliximab is effective for treating cardiac sarcoidosis.
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PET tracer for prostate cancer performs well in clinical trial
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A new PET tracer for detecting prostate cancer performed well in a phase II/III clinical trial.
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Class-action suit filed against insurer for breast imaging charges
By AuntMinnie.com staff writers
The lawsuit alleges Oscar Health Insurance required policyholders to pay deductibles and coinsurance for diagnostic breast imaging in violation of Texas law.
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AI model predicts breast cancer risk in diverse population
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An AI-based breast cancer risk-prediction model performed well in a diverse study population.
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