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. 

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. 

ai in healthcare digest news watcher blog

Industry Watcher’s Digest

HHS is adding a division to offer technical expertise with special focus on AI. 

AI in healthcare

Said and heard this week in and around healthcare

10 notable quotes about AI from the past 5 days.

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AI implementation improves when radiology staff concerns are considered

Although the potential benefits of artificial intelligence are numerous, its implementation is not without headaches for healthcare staffers. 

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. 

artificial intelligence AI deep learning

Most patients on board with radiology AI, though job loss, data privacy are top concerns

A researcher sought to measure public sentiment about artificial intelligence in medical imaging, analyzing over 1,000 posts on Reddit and X. 

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Primary care could use a break. AI might be able to supply it.