Top Trends in Radiology: Part 1

Nov 7th, 2013
Las Vegas, NV
US
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Join us for the kick-off party of our 25th year. We want to show our appreciation by hosting two days of favorite continuing education topics with drawings for door prizes and gifts.
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AI echo model detects cardiac amyloidosis
July 10, 2025
Pelvic (A), femoral and popliteal (B), and cruro-pedal (C) region. The summated digital variance angiography (DVA) image significantly enhances image quality compared to the digital subtraction angiography (DSA) series I–IV (depicting 4 out of 28 (A), 48 (B) and 28 (C) DSA images) of the low dose (LD) acquisitions. Enhancements of iodinated contrast medium (ICM) by DVA depict small vessel structures in detail while the conventional DSA offers a reduced contrast-to-noise ratio (CNR) using LD acquisitions for standalone diagnostic interpretations.
DVA reduces radiation exposure during interventions
July 10, 2025
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New taxonomy clarifies function and data inputs of AI medical devices
July 10, 2025
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Deep learning plus breast DCE-MRI improves chemo response prediction
July 10, 2025
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AI echo model detects cardiac amyloidosis
By Amerigo Allegretto
Researchers are highlighting the performance of their AI screening model based on echocardiography to detect cardiac amyloidosis.
July 10, 2025
Ultrasound Sound Waves 400
DVA reduces radiation exposure during interventions
By Will Morton
Digital variance angiography (DVA) shows promise in reducing radiation doses to patients during certain interventional radiology procedures.
July 10, 2025
Pelvic (A), femoral and popliteal (B), and cruro-pedal (C) region. The summated digital variance angiography (DVA) image significantly enhances image quality compared to the digital subtraction angiography (DSA) series I–IV (depicting 4 out of 28 (A), 48 (B) and 28 (C) DSA images) of the low dose (LD) acquisitions. Enhancements of iodinated contrast medium (ICM) by DVA depict small vessel structures in detail while the conventional DSA offers a reduced contrast-to-noise ratio (CNR) using LD acquisitions for standalone diagnostic interpretations.
New taxonomy clarifies function and data inputs of AI medical devices
By Liz Carey
The new taxonomy enables a more representative view of U.S. FDA device distribution, according to the authors.
July 10, 2025
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Deep learning plus breast DCE-MRI improves chemo response prediction
By Kate Madden Yee
The findings are promising, as early chemotherapy response prediction is "crucial for personalized treatment planning."
July 10, 2025
2025 07 10 Rad Ai Wu Figure6 Thumbnail
'Safety bundle' with ultrasound improves operational vaginal births
By Amerigo Allegretto
A "safety bundle" approach that includes intrapartum ultrasound improved operative vaginal birth outcomes.
July 9, 2025
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HPI: Shared decision-making boosts LCS adherence
By Kate Madden Yee
An HPI report suggests that shared decision-making could be an effective way to improve adherence to lung cancer screening (LCS).
July 9, 2025
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How well do LLMs interpret bone fracture textual CT reports?
By Kate Madden Yee
Large language models (LLMs) show promise for analyzing radiology reports of bone fractures imaged on CT.
July 9, 2025
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Could ChatGPT be useful for radiology residents?
By Will Morton
ChatGPT shows potential in generating and presenting educational material for radiology education.
July 8, 2025
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Ancillary features on CT, MRI don't impact LI-RADS performance
By Amerigo Allegretto
Individually applying liver CT and MRI ancillary features to major imaging features does not affect the performance of LI-RADS.
July 8, 2025
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AI helps radiologists focus on lesions more than entire breast on mammo
By Amerigo Allegretto
AI improves breast cancer detection accuracy among radiologists when reading breast cancer screening exams.
July 8, 2025
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Dietary choline increases BMD in postmenopausal women
By Will Morton
Dietary choline may improve bone density (BMD) in postmenopausal women.
July 7, 2025
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SPECT/CT identifies prostate cancer patients with poor outcomes
By Will Morton
Post-therapy SPECT/CT scans after cycle 2 of Lu-177 PSMA-617 can identify advanced prostate cancer patients with poor outcomes.
July 7, 2025
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