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. 

Ty Bode, senior director of strategy at GE Healthcare, explains the details of a new, economical cardiac CT scanner GE Healthcare launched at the American College of Cardiology (ACC) 2025 meeting. The Revolution Vibe is designed specifically for coronary CT angiography (CCTA), but at a lower price point than the traditional high-end, flagship scanner that have traditional performed CCTA work.

A closer look at GE HealthCare's new affordable cardiac CT scanner

As cardiac CT continues to get used more and more, GE HealthCare has launched a new scanner designed to meet the needs of both outpatient imaging centers and larger hospitals. 

neck ultrasound thyroid

RadNet enters ultrasound AI, acquiring imaging vendor See-Mode Technologies

Founded in 2017, the Melbourne, Australia-based company offers software that analyzes breast and thyroid images, “producing fast and accurate radiology reports.” 

technologist MRI rad tech radiologic radiology

AI, politics and rising demand for imaging—how rad techs are faring amid an evolving professional landscape

Compared to other healthcare workers, technologists may have a more positive outlook of their career trajectories and how outside forces may affect them.

underutilized healthcare data

Newswatch: FDA’s AI plan ‘ahead of schedule and under budget,’ AI fears vs. comforts, AI ROI, more

We’re either teetering at the edge of AI overlordship—or just working with new tech tools that do the same old computer-y things we’ve always done. So which is it? 

artificial intelligence AI in healthcare

5 attributes every AI system will soon need to make hay in healthcare

“Dr. AI” will never replace a single human physician. But its many makers’ relentless pursuit of perfect performance all but guarantees the technology a prominent role in healthcare. 

AMA brainstorms on key topics impacting healthcare

"With significantly strengthened penalties, standardized reporting requirements and unprecedented enforcement commitments, the regulatory landscape has dramatically shifted," the AMA wrote. 

ChatGPT large language models radiology health care

ChatGPT excels at assessing breast pain symptoms, deciding if patients require imaging

This task could potentially be performed by a member of the radiology scheduling team with oversight by a clinical nurse navigator. 

mammogram mammography breast cancer

FDA authorizes 1st AI tool to predict 5-year breast cancer risk from routine mammograms

Clairity Breast analyzes screening mammograms and can detect “subtle imaging features” correlated with long-term risk, the Boston-based company notes.