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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Screen time can negatively impact child brain development, MRI scans show

More screen usage can negatively impact the development of children’s brains, particularly regions associated with language development, according to a recent study published in JAMA Pediatrics.

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A ‘scientific evolution’: How radiologists can help develop responsible AI

“Our broad radiology community has a unique opportunity to engage with this exciting scientific evolution, working with interdisciplinary ‘convergence science’ teams,” Andrea Rockall, clinical chair of radiology, Imperial College London, wrote in a new editorial.

New MRI-based method improves liver cancer care

Tomoelastography combines tomography and elasticity, allowing researchers to diagram the spread of mechanical waves within the liver.

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Brain recognizes familiar music in less than 1 second, imaging shows

The findings, published in Scientific Reports, may be particularly helpful for dementia patients, who have been shown to preserve some form of musical memory while most other recollections fade.

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Behind the scenes look at Facebook, NYU's bid to advance AI in radiology

Facebook and NYU Langone Health announced their commitment to making MRI scans more efficient through the use of AI more than one year ago, and a new story from Popular Science provides a glimpse into what the two have been up to.

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Brain MRI scans may help NASA plan safer missions to space

“Although this study evaluates a small subset of astronauts, it's significantly larger than any previously published study of its kind involving astronauts or Russian cosmonauts," study author Donna R. Roberts said.

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AI predicts risk of thyroid cancer on ultrasound images

“Machine learning is a low-cost and efficient tool that could help physicians arrive to a quicker decision as to how to approach an indeterminate nodule,” lead author of the study, John Eisenbrey, PhD, said.

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Radiologist uses virtual reality to improve thyroid nodule treatment

“This technology has incredible potential to improve care, whether it is by better training doctors to perform procedures or helping patients know what to expect when they arrive at the hospital,” Ziv Haskal, creator of the technology said.

Around the web

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

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.

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.