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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‘Major step’ in digital pathology pinpoints lung cancer and its many mutations

The technique, known as "label-free digital pathology," combines infrared imaging and artificial intelligence.

With AI, researchers predict which brains are straying from a healthy neurological pathway

Patients with amnestic mild cognitive impairment had brain ages more than 2.7 years older, on average, than their actual age, according to new research.

Brain imaging alternative to functional MRI may ‘change neuroimaging forever’

California docs compared functional photoacoustic CT scans to images generated via 7T fMRI, sharing their findings in Nature Biomedical Engineering.

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Combining AI with cardiac imaging helps predict heart attacks, cardiovascular deaths

The findings were presented virtually during the Society of Nuclear Medicine and Molecular Imaging's 2021 Annual Meeting.

‘Tic Tac Toe’ MRI technique uncovers sickle cell’s impact on the brain

An estimated 100,000 people in the U.S. live with sickle cell disease, which disproportionately affects African Americans.

Diamond tracers may be vital key to cost-friendly, high-resolution imaging

These microdiamonds can be detected simultaneously via optical and radiofrequency imaging methods, opening up a number of new possibilities.

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‘Image fusion’ significantly enhances scan quality and may improve clinical diagnoses

Researchers applied the deep learning-based process to MRI, CT and SPECT images, sharing their methods in the International Journal of Cognitive Computing in Engineering.

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Leading radiology, healthcare groups announce machine learning challenge for detecting COVID-19

RSNA and the Society for Imaging Informatics in Medicine are among those hosting the challenge.

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Around the web

Cardiovascular Business
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.