Treatment decisions for shoulder abnormalities can be made more quickly and accurately thanks to deep learning.

Published Date: 27 Mar 2024

With 99 percent accuracy, QUT researchers have created a deep learning framework that can identify shoulder abnormalities, including fractures, in X-ray images, empowering medical professionals to act quickly and appropriately in critical situations.

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Another positive digoxin trial, another classic coronary physiology study from Imperial College London (ORBITA-FIRE), news in hypertrophic cardiomyopathy, and TAVR done in the wrong patients are the topics John Mandrola, MD, discusses in this week’s podcast.

From automatic calcium and lipid detection to post-stent expansion checks, learn how AI helps close the gap between novice and expert and why that matters for outcomes.

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