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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CVD risk lessens with more years in school

Body mass index, systolic blood pressure and smoking behaviors mediate the effects of education on cardiovascular health, according to a recent study in The BMJ.

Neuroimaging connects air pollution to childhood anxiety

A team of researchers used MR spectroscopy to analyze the impact of traffic-related air pollution on childhood neurological development. Their results were published in Environmental Research.

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Researchers hope fMRI can eventually help diagnose autism

Researchers at Wake Forest School of Medicine in Winston-Salem, North Carolina, believe they have taken an important first step in developing a brain-based test to diagnose autism, according to the results of an fMRI-based study published in Biological Psychology.

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AI-optimized TI-RADS may reduce unnecessary thyroid biopsies

An AI-optimized American College of Radiology Thyroid Imaging Reporting and Data System (TI-RADS) improved risk stratification of thyroid nodules and may be easier for readers to use, according to a new study published in Radiology.

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Google trains AI to predict lung cancer risk from CT scans

The deep learning platform, tested on more than 6,000 cases from the National Lung Cancer Screening Trial and Northwestern University, performed similarly to six radiologists.

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fMRI study will analyze marijuana’s effect on the infant brain

A team of radiologists at the University of Washington School of Medicine in Seattle will utilize fMRI, along with formal evaluations, to study the effects of cannabis on infant brain development.

Deep learning detects ACL tears on MRI similar to radiologists

The method included three deep convolutional neural networks which outperformed five clinical radiologists, according to results of a study published in Radiology: Artificial Intelligence.

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Can AI provide value in molecular imaging?

“The value of AI applications in medical care can only be confirmed when professional guidelines provide recommendations for their use in specific clinical settings and patient populations,” wrote Gerold Porenta, MD, PhD, in a recent commentary published in the Journal of Nuclear Medicine.

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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.

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‘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.