Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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3D MRI measures heart muscle strain without gadolinium

A new three-dimensional (3D) MRI technique can measure strain in the heart without using potentially-damaging gadolinium, according to new research out of the University of Warwick in the U.K.

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Revamped infrared spectroscopy may improve brain imaging

A new paper published in Neurophotonics details improvements made to near infrared spectroscopy (fNIRS)-based imaging that may enhance brain imaging research.

MRI scans reveal vascular damage caused by vaping

"These products are advertised as not harmful, and many e-cigarette users are convinced that they are just inhaling water vapor," said researchers in a recent article published by Radiology.

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MS findings may guide future neuroimaging biomarkers

Grey matter atrophy impacts localized brain regions that are functionally connected in patients with multiple sclerosis (MS), according to a new study published in Clinical Radiology. The results may serve as a framework for developing imaging biomarkers.

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New technique pushes closer to real-time MRI brain imaging

A team of researchers backed by a division within the National Institutes of Health (NIH) has created a novel MRI technique that can image a thinking brain 60-times faster than traditional methods.

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US global leader in publishing AI radiology studies

The United States published more AI-based radiology studies than any other country across the globe, according to a new analysis released Aug. 15 in the American Journal of Roentgenology.

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AI trained on synthetic images makes accurate cancer diagnoses

A machine learning method trained on synthetic breast ultrasound elastography images accurately classified tumors when applied to real-world images, according to a new study published in the August issue of Computer Methods in Applied Mechanics and Engineering.

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Repeated head hits cause brain damage regardless of concussions

A season of football can significantly damage a player’s brain, even if they did not experience a concussion. The results bolster evidence that suggests even repeated hits to the head can cause impactful brain damage.

Around the web

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.