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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Machine learning tool analyzes brain scan data to predict mood disorder medication responses

Previously, the algorithm was 90% accurate at predicting medical outcomes, but Georgia State University researchers believe they can do better.

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Novel PET scan timer bolsters clinicians' cancer treatment capabilities

The development measures oxygen concentrations within the body’s tissue to better understand tumors with more aggressive growth patterns.

MRI scan data predicts preterm infants at risk of developmental brain issues

Diffuse white matter abnormality proved to be a strong predictor of cerebral palsy, Cincinnati Children’s Hospital Medical Center researchers found.

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Deep learning diagnoses disabling neurological condition on MRI in under 1 second

The platform—DystoniaNet—was 98.8% accurate at diagnosing the condition, and with further testing, may soon be in clinics, experts explained recently.

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‘Minutes matter’: Deep learning quickly spots stroke-causing blockages on CTA scans

Brown University researchers built their model from scratch and credited a new multiphase approach to its enhanced detection capabilities.

Machine-learning algorithm detects osteoarthritis prior to development

A machine-learning algorithm can predict the onset of osteoarthritis on MRI scans taken years before symptoms begin.

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Imaging-based AI ‘unlikely to replace the integrative reasoning and judgment of an astute physician’

Not only can different lung diseases look much the same in chest imaging, but distinct diagnoses may present widely dissimilar image patterns in the same patient at the same timepoint, too.

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AI triage tool cuts radiologists’ mammography workload by more than 50%

In a small group of women with the highest algorithm prediction risk scores, the tool could have spotted 27% of ensuing cancers, experts reported recently.

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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.