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 able to classify pure ground-glass opacities

Artificial neural networks (ANNs) can help radiologists classify ground-glass opacities (GGO) with improved accuracy, according to new findings published in Clinical Radiology.

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Augmented datasets improve AI accuracy

Augmented datasets can improve the overall accuracy of deep convolutional neural networks (DCNNs), according to new findings published in Clinical Radiology.

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Radiologists working in 10 years will be 'killing patients,’ says billionaire Vinod Khosla

Businessman Vinod Khosla, co-founder of Sun Microsystems and a longtime venture capitalist, said this week that he thinks any radiologist still practicing in 10 years “will be killing patients every day.”

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How AI can push imaging forward, 1 CT scan at a time

Machine learning can help improve the overall performance of CT scans, reducing radiation exposure and boosting image quality, according to new findings published in Nature Machine Intelligence.

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3 key ways machine learning could transform interventional radiology

Machine learning could be a real game-changer for interventional radiology (IR) in the years ahead, according to a new analysis published in the American Journal of Roentgenology.

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Aidoc’s AI solution for cervical spine fractures gains FDA clearance

Tel Aviv, Israel-based Aidoc has received FDA approval for its new AI solution that helps specialists triage cervical spine fractures.

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AI helps researchers ID brain aneurysms on CTA examinations

A new automated detection tool using deep learning can detect clinically significant brain aneurysms on CT angiography (CTA) examinations, according to a new study published in JAMA Network Open.

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How the FDA assesses AI-based imaging algorithms

The FDA is responsible for regulating AI solutions designed and developed to provide care for patients, a task that leads to certain unique challenges.

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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.