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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New Disney, Philips venture will test custom animated stories during pediatric MRI exams

As part of the pilot, the house of mouse will create original animation featuring some of its most famous characters: Ariel, Marvel’s Avengers, Mickey Mouse, and others

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New tool solves ‘urgent medical need’ to help patients with multiple pulmonary nodules

The machine learning-based method can ensure clinicians keep pace with the growing number of people presenting with more than one lung abnormality.

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Radiomics tool spots colon polyps before they evolve into cancer

Colorectal cancer remains one of the top three causes of cancer-related death among men and women in industrialized regions, researchers explained in Radiology.

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East Coast university scores $1.2M grant for cutting-edge biological imaging projects

The New York-based institution says the funds will help to develop a new light-sheet imaging device that will power a handful of cellular-level experiments.

Politicians who break party lines elicit stronger brain responses, new imaging study reveals

Neuroimaging showed increased activity in two areas involved in cognitive function, researchers explained Monday.

chest pain lung pulmonary embolism

AI spots dozens of missed incidental pulmonary embolism diagnoses at one hospital

The investigation was retrospective, but Duke scientists believe their algorithm could potentially aid radiologists in spotting near-misses in their work.

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AI tells radiologists which CTs to read next, slashing wait and turnaround times, but some are skeptical

The tool reprioritizes head CT exams with intracranial hemorrhage, however, a pair of Wisconsin rads have some lingering questions about its choices.

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Deep learning validated on 20K patients uses CT scans to predict cardiovascular risk

Coronary artery calcium scores generated by the system matched those manually performed by a human expert.

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Positron partners with Upbeat Cardiology Solutions to improve cardiac PET/CT access

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

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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.