Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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False negative results may deter women from future breast cancer screening exams

This effect could have serious unintended consequences for women who are at an increased risk of being diagnosed with breast cancer.

Video interview with ACR CEO Dana Smetherman, MD, who explains how the American College of Radiology can help radiology practices evaluate and vet AI.

ACR offers resources to achieve radiology AI best practices

Dana Smetherman, MD, CEO of the American College of Radiology, explains resources available through its Data Science Institute to evaluate and validate the quality of imaging algorithms.

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EHR intervention cuts unnecessary MRI orders by 35%

Many of these exams are ultimately deemed normal, and their results often do not affect how patients’ headaches are managed. 

Elizabeth Ann Ignacio, MD, FSIR, FACR, the chair of Society of Interventional Radiology (SIR) Small and Rural Practices Committee, president of the Hawaii Medical Association, and a board member of the American College of Radiology, outlines the shortage of IRs outside of major cities and ways to make these positions more attractive.

How to address the shortage of interventional radiologists

Elizabeth Ann Ignacio, MD, FSIR, FACR, chair of SIR Small and Rural Practices Committee, and an ACR board member, outlines ways to make these positions outside of major cities more attractive.

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Both diabetes and prediabetes accelerate brain aging, MRI analysis shows

The less control a person has over their diabetes, the greater the difference between chronological age and estimated brain age based on MRI markers, according to the study. 

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.

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New tau imaging agent granted FDA's Fast Track designation

Life Molecular Imaging's new agent has demonstrated promising brain uptake, fast wash-out in non-target regions and excellent reproducibility. 

AI spots 25% of interval breast cancers missed by radiologists

What’s more, the algorithm can correctly localize three out of four of the interval cancers it detects.

Around the web

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.