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. 

Employee retention staffing hiring

Navigating the radiology workforce shortage: 6 potential solutions

Radiologist Anna Rozenshtein, MD, and colleagues conducted a literature review for their opinion piece, published in the American Journal of Roentgenology. 

Cardiology, radiology specialists debate CCTA’s rise as a go-to imaging modality for CAD

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Nurses are making their peace with workplace AI. 

doctor examines patient data on their tablet

Advancing AI for vascular surgery will require a commitment to data integrity

For artificial intelligence to truly transform care, the healthcare industry must address certain challenges. Jens Eldrup-Jorgensen, MD, a veteran vascular surgeon and member of the Society for Vascular Surgery, explains in a guest editorial. 

From Capitol Hill to a hospital near you? 5 federal recommendations for healthcare AI policy

The 24 members of the House Task Force on AI—12 reps from each party—have posted a 253-page report detailing their bipartisan vision for encouraging innovation while minimizing risks. 

translate language

Can large language models break language barriers in radiology reports?

With the growing demand for virtual care and an increasingly mobile population, the need to improve communication with non-English-speaking patients is immense. 

AI in healthcare

Most patients want to know if AI is involved in their care

“With this signal about the public’s preference for notification, the question for health systems and policymakers is not whether to notify patients but when and how.” 

Ischemic stroke shown in CT scans. Image courtesy of RSNA

New algorithm is twice as accurate at predicting stroke timing compared to the standard of care

Determining stroke onset is critical for management, as there is a small window of time for initiating treatment that can inhibit damage.