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. 

Ron Blankstein, MD, Brigham and Womens Hospital, explains a study using AI opportunistic screening in non-cardiac CT scans looking for coronary artery disease.

Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

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American College of Radiology partners with FDA to hasten availability of AI products

The administration is seeking greater communication between the manufacturers of breakthrough devices and physician professional societies such as the ACR. 

breast cancer screening mammography

AI accurately predicts breast cancer years before diagnosis

This information could help providers personalize breast cancer screening strategies and initiate treatment earlier.

GE HealthCare

GE HealthCare completes $53M acquisition of AI ultrasound business

Based in Cardiff, Wales, seller Intelligent Ultrasound specializes in integrated, AI-driven tools to make scans “smarter and more efficient.” 

quality imaging appropriateness clinical decision support CAS AUC

Company aiming to automate medical coding in radiology raises $47M

Across its customer base of physician groups, health systems and hospitals, Nym has processed over 6 million charts annually. 

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

Younger women with breast arterial calcifications are at markedly higher risk of major cardiovascular events

Currently, there is no standardized reporting requirement related to BACs, and ACR classifies reporting vascular calcifications on breast imaging as optional. 

Mendaera Founder and CEO Josh DeFonzo

Startup aiming to bring robotics into interventional radiology raises $73M

The Silicon Valley-based startup is working to commercialize a handheld platform that incorporates robotics, artificial intelligence, imaging and virtual connectivity. 

Qure.ai CEO and Co-founder Prashant Warier

Radiology vendor Qure.ai completes $65M Series D funding round

Founded in 2016, the vendor offers the "world’s most deployed healthcare AI," with its solutions in use across 3,000 care sites in 90 countries. 

Around the web

After reviewing years of data from its clinic, one institution discovered that issues with implant data integrity frequently put patients at risk. 

Prior to the final proposal’s release, the American College of Radiology reached out to CMS to offer its recommendations on payment rates for five out of the six the new codes.

“Before these CPT codes there was no real acknowledgment of the additional burden borne by the providers who accepted these patients."

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