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 takes 20 seconds to find lung nodules on CT scans

The system, named Doctor Alzimov, after the Russian-born science fiction writer, can be installed on any computer and can find nodules as small as 2 millimeters.

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Report: 2018 investments in AI imaging startups more than double previous year's

In 2018, capital investments in startup companies developing medical imaging AI solutions reached almost $580 million—more than double the 2017 amount of $270 million, according to a new market report published Jan. 31 by Signify Research.

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14-layer CNN accurately predicts breast cancer molecular subtype

A 14-layer convolutional neural network (CNN) trained on MRI and pathology data accurately predicted the molecular subtype of breast cancers, according to a Jan. 31 study published in the Journal of Digital Imaging. The method may help personalize treatment plans for the disease.

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Virtual reality surgery promotes patient engagement in surgical planning

At JFK Medical Center in Edison, New Jersey, patients can have a 360-degree, three-dimensional (3D) tour of the inside of their own bodies before surgery with the help of virtual reality technology at the center's Neuroscience Institute, USA Today’s MyCentralJersey.com reported on Jan. 31.

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Novel 3D imaging method reveals origins of pancreatic cancer

A new three-dimensional (3D) imaging technique to analyze tissue samples allowed scientists to determine that pancreatic cancers can start and grow in two distinct ways, according to a Jan. 30 study published in Nature. The findings solve a question that’s plagued researchers for decades.

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Deep learning network detects, localizes fractures on wrist x-rays

A team from Singapore demonstrated that an object detection convolutional neural network (CNN) could accurately detect and localize fractures on wrist x-rays, according to a Jan. 30 study published in Radiology: Artificial Intelligence. The method may be more verifiable than traditional CNNs.

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RSNA publishes first issue of its AI in radiology journal

RSNA has published the first issue of its new online journal, Radiology: Artificial Intelligence.

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fMRI reveals a lack of sleep increases sensitivity to pain

A team of U.S. researchers used fMRI to discover that a lack of sleep can reduce the brain's ability to combat pain, according to a Jan. 28 study published in the journal JNeurosci.

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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. 

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

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.

Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

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.