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The Amsterdam-based industry giant has extended its inspection window to ensure that no additional imaging equipment recalls are missed.

Sarah Jane Rinehart, MD, director of cardiac imaging, Charleston Area Medical Center, Charleston West Virginia, as been using the FDA-cleared RoadMap artificial intelligence algorithm from HeartFlow in studies and in clinical used since it was cleared and said it helps cardiologists in several ways. #ACC #ACC24 #ACC2024 #Heartflow #AIhealth

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

An accidental discovery could have future implications for the material makeup for MRI contrast media.

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The California physician may not face prison time after all, if a judge grants his defense team’s request that he be admitted to a mental health diversion program. 

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The new technique uncovers hidden inflammation in patients who, despite undergoing extensive treatment for the condition, had worsening symptoms.

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Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities. 

virtual reality surgical planning

Johns Hopkins researchers demonstrated the worthiness of the concept this year.

The imaging iodine contrast shortage is delaying procedures and causing rationing at hospitals. impact is it having on hospitals and the tough decisions that are being made to triage patients to determine if they will get a contrast CT scan or an interventional or surgical procedure requiring contrast. Photo by Dave Fornell

This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.

Compared to USPSTF 2013,  modified eligibility criteria could increase cancer detection by 37%.

Illustration of the four types of breast tissue densities. The more dense, the harder it is for radiologists to detect cancers, which had led to about 40 states to now require notiofication of patients if they have dense breasts and the impact on their care, with possible miss-reads and that they may need supplemental imaging.

Society of Breast Imaging (SBI) President John Lewin, MD, discusses how legislation concerning breast density notifications has impacted mammography.

Magnifying Glass

Recently a radiomics-based machine learning model proved highly accurate at predicting which patients would develop pancreatic cancer three to 36 months after abdominal CT imaging.

Chest X-ray. Using an explainable artificial intelligence (AI) model, researchers were recently able to accomplish highly accurate labeling on large datasets of publicly available chest radiograph X-rays.. 

At one institution, the guidelines are not as effective as many had hoped, according to new post-implementation data.

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Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

Advanced imaging equipment using ionizing radiation enters the global market at the rate of one new technology every five years.