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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AI improves accuracy, cuts reading times associated with DBT exams

Deep learning can improve the accuracy and efficiency of digital breast tomosynthesis (DBT) examinations, according to new findings published in Radiology: Artificial Intelligence.

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Neuroimaging important for evaluating Zika-exposed infants

MRI and CT scans of infants exposed to the Zika virus in the womb revealed a range of brain abnormalities, reported authors of a recent study published in JAMA Network Open. The findings place neuroimaging as an important step in evaluating such patients.

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RSNA 2019 to feature new, larger AI Showcase

RSNA announced Wednesday, July 31, that it would be expanding its AI Showcase at RSNA 2019 in Chicago.

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AI boosts accuracy of DBT, slashes radiologists’ reading times

Utilizing an AI system for digital breast tomosynthesis (DBT) can improve radiologists’ accuracy while dramatically reducing reading times, according to a new study published in Radiology: Artificial Intelligence.  

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Deep learning reads x-rays to prevent mispositioned feeding tubes

A deep learning platform can accurately distinguish critical from non-critical feeding tube placement on radiographs, according to a recent study published in the Journal of Digital Imaging.

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Progenics Pharmaceuticals working with VA on AI research program

Progenics Pharmaceuticals, a New York City-based oncology and imaging company, has announced a new collaboration aimed at improving care for veterans with prostate cancer.

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Imaging data backs physical activity as guard against Alzheimer’s

Increasing daily physical activity may help older adults delay their progression to Alzheimer’s disease (AD), according to research published July 16 in JAMA Neurology.  

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AI detects urinary tract stones on CT scans

Convolutional neural networks (CNNS) can detect urinary tract stones on unenhanced CT scans with significant accuracy, according to new findings published in Radiology: Artificial Intelligence.

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