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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Exercise improves blood flow in key brain areas linked to memory, imaging reveals

In older adults at higher risk for Alzheimer's disease, one year of aerobic exercise enhanced flow in the anterior cingulate cortex and the hippocampus, according to a new study.

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Advanced imaging IDs antibody for potential COVID-19 treatment

“We are very excited to have found this potent neutralizing antibody that we hope will participate in ending the COVID-19 pandemic,” said project co-lead David Veesler, PhD, with the University of Washington in Seattle.

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University receives $5.9M grant for neuroimaging, clinical research into mood disorders

“By examining cognitive dysfunction patterns within an individual, we can develop better risk assessment tools that will allow quick therapeutic interventions before relapses occur,” said co-investigator of the project Olusola Ajilore, MD, PhD, with the University of Illinois at Chicago.

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Health system launches ‘second opinion’ AI for diagnosing COVID-19 in chest scans

The algorithm's sensitivity edged out that of trained radiologists at identifying signs of the disease on chest CT scans, Mount Sinai researchers explained recently.

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Deep learning automatically measures key features of TBI

If validated further, the algorithm could be used to flag urgent scans in radiology workflows, especially in resource-strapped regions.

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AI sees what radiologists cannot, predicts disease-free survival in lung cancer patients

With further testing and validation, Hyungjin Kim, with Seoul’s National University College of Medicine and colleagues believe radiologists may one day use the tool to individualize treatment and achieve better outcomes.

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Machine learning-powered imaging platform pinpoints subtle differences in blood clots

"Using this new tool may uncover the characteristics of different types of clots that were previously unrecognized by humans," researchers wrote in the journal eLife.

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Abdominal imaging reveals bowel injuries in COVID-19 patients

Abnormalities were most commonly seen in sicker patients with the virus who were also admitted to the intensive care unit, according to recent research.

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.