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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AI improves radiologists’ cancer detection rates when reading mammograms

Artificial intelligence-based computer-aided detection (AI-CAD) software can help radiologists detect more cancers when interpreting mammograms, according to a new study published in the Journal of Digital Imaging.

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Why radiologists won’t be replaced by deep learning

As researchers continue to make significant advances with artificial intelligence (AI) and deep learning, has the time come for radiologists to be concerned about their jobs?

GE Healthcare’s deep learning-based image reconstruction engine gains FDA clearance

GE Healthcare’s Deep Learning Image Reconstruction (DLIR) engine, designed to be used with its Revolution Apex CT solution, has gained FDA clearance.

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Second research roadmap focused on AI in radiology coming soon

A detailed roadmap outlining research priorities for artificial intelligence (AI) in radiology was published April 16 in Radiology, and the organizations involved have announced that a second report is due later this year.   

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Specialists share research roadmap for using AI in radiology

Representatives from numerous healthcare organizations gathered in 2018 and developed a new document focused on helping researchers use AI algorithms in radiology to improve patient care. 

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GE Healthcare’s AI platform to integrate with ACR AI-LAB

The American College of Radiology (ACR) Data Science Institute (DSI) just launched its ACR AI-LAB software platform and has already secured a key collaborator: GE Healthcare.

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How machine learning will fundamentally change the lives of healthcare providers

Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.

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New ACR software platform allows radiologists to create, validate, use AI

The American College of Radiology (ACR) Data Science Institute (DSI) has launched ACR AI-LAB, a new software platform that helps radiologists create, validate and use artificial intelligence to treat patients.

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Around the web

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

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.