David Stoffel, MD

AI
Radiology AI: Going beyond the algorithm
RapidAI
AI is revolutionizing the way we deliver healthcare, especially in radiology.
May 29, 2024
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In her ARRS 2025 presentation, Amy Patel, MD, discussed ways that radiologists can be proactive in influencing legislation that addresses breast density. These include working with elected officials and joining medical societies, among others.
Womens Imaging
ARRS: Get involved with breast health advocacy
At ARRS 2025, Amy Patel, MD, discussed the need for advocacy to drive legislation on insurance coverage for women with dense breasts.
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ARRS: The state of lung imaging
At ARRS 2025, Dana Kong from Case Western Reserve University presented on breast cancer trends among women aged 40 years and younger. Among her team's findings, young women who had imaging prior to their cancer diagnosis had higher receptor status and underwent surgery more frequently than those with no prior imaging.
Womens Imaging
ARRS: Most women under 40 have no imaging before breast cancer diagnosis
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Womens Imaging
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Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
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