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-powered platform for heart failure detection gains FDA clearance

According to data submitted to the FDA, the platform has been linked to an accuracy of 90%, sensitivity of 87.8% and specificity of 83%.

AI is still one of the key technologies on the floor many radiologists want to learn more about. of the AI. A product rep discussing breast automated detection AI in the crowded Lunit booth at RSNA 2022.

9 technology trends and takeaways from RSNA 2022

Here are some interesting new technologies and key trends from the vast expo floor at the Radiological Society of North America 2022 meeting.

Jorge Soto, MD, chair of the RSNA Annual Meeting Program Planning Committee, chief of radiology, Boston Medical Center, and professor of medicine, Boston University School of Medicine, offers an overview of the trends, hot topics, and innovative research and technology at the Radiological Society of North America (RSNA) 2022 meeting.

VIDEO: Key takeaways from RSNA 2022

Jorge Soto, MD, chair of the RSNA Annual Meeting Program Planning Committee, chief of radiology, Boston Medical Center, offers an overview of the trends, hot topics, research and technology at the Radiological Society of North America (RSNA) 2022 meeting.

Dynamic lung air flow analysis just using X-ray without any contrast with new technology from 4D Medical.

PHOTO GALLERY: New technology and trends at RSNA 2022

Images from the Radiological Society of North America (RSNA) 2022 annual meeting Nov. 27- Dec. 1 in Chicago. The gallery includes new technologies and a look at sights around the world's largest radiology conference. 

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AI generates imitation lung X-rays replete with diagnosable pathologies

Stanford researchers have created synthetic yet highly realistic chest X-rays by customizing an open-source AI model called Stable Diffusion for rendering text as images.

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Google Health partners with iCAD in commercial AI imaging push

The deal is the first commercial partnership for Google Health to introduce its breast imaging AI into clinical practice.

lung cancer pulmonary nodule

RadNet and Google Health join forces to use AI for lung cancer screening

Aidence will license, develop, and validate Google Health’s existing AI research module, hoping to offer better differentiation between benign and malignant lung nodules at an early stage.

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New AI model calculates risk of heart attack or stroke using a single X-ray

“This type of screening could be used to identify individuals who would benefit from statin medication but are currently untreated," one specialist said. The full analysis will be presented at RSNA 2022 in Chicago. 

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