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 scans MRIs to diagnose specific forms of muscular dystrophy

Researchers from Spain used nearly 1,000 pelvic and lower limb MRIs, displaying various forms of the disease, to create their model.

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AI-based clinical decision support unloved in practice

Mayo Clinic researchers have found that primary care providers welcome the concept of AI-based clinical decision support (CDS) while preferring not to use the technology—at least as configured for their tryout adoption—in day-to-day practice.

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2 hospitals unleash AI innovations against COVID-19

Tampa General Hospital in Florida has admitted three patients with COVID-19. Halfway around the world, Sheba Medical Center in Israel has seen 40. Both expect exponential increases—and both are using new AI applications to respond.  

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AI extracts imaging data to predict lung cancer treatment response

“With AI, cancer imaging can move from an inherently subjective tool to a quantitative and objective asset for precision medicine approaches," Columbia University Irving Medical Center radiologists wrote Friday.

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ACR outlines 10 priorities to steer federal oversight of artificial intelligence

The college shared high-level principles in its comments submitted to the White House Office of Management and Budget, emphasizing validation, transparency and safety.

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AI helps radiologists distinguish coronavirus from community-acquired pneumonia in chest CT

The COVID-19 Detection Neural Network—or COVNet for short—scored high marks in sensitivity and specificity, experts reported in Radiology

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AI draws on pathologists’ wisdom to improve cancer diagnoses

"We showed it is possible using this approach to get incredibly encouraging results if you have access to a large archive," said experts from the University of Waterloo in Ontario, Canada.

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NIH awards $6M grant for noninvasive brain scan helmet

Sandia National Laboratories will use the award to create a wearable magnetoencephalography brain imaging prototype.