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. 

HeartLung Technologies, a Houston-based artificial intelligence (AI) company, has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for new software that assesses chest CT scans for signs of coronary artery disease (CAD) and other potentially fatal heart conditions. The newly cleared offering, AutoChamber, was designed with opportunistic heart evaluations in mind.

FDA clears AI tool that flags signs of heart disease in chest CT scans

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

AI artificial intelligence for beginners

5 tips to learn AI from scratch and for free

There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you. 

Using advanced artificial intelligence (AI) platforms to assess imaging results and quantify coronary plaque buildup can help clinicians predict adverse events in patients with suspected coronary artery disease (CAD), according to late-breaking data presented at TCT 2024 in Washington, D.C.

AI-enabled plaque assessments help cardiologists ID high-risk CAD patients

AI-enabled coronary plaque assessments deliver significant value, according to late-breaking data presented at TCT. These AI platforms have gained considerable momentum in recent months, receiving expanded Medicare coverage in addition to a new Category I CPT code.

AI governance meeting

Good AI governance can spell the difference between smashing success and mere learning experience

Discussions of AI governance may cause many an eye to glass over, but the discipline is as crucial to the ascent of AI in healthcare as big training datasets drawn from diverse patient populations.

New data highlight long-term benefits of HeartFlow’s AI-based CAD evaluations

HeartFlow kicked off TCT 2024 by sharing new research on the long-term impact of its FFRCT Analysis and Plaque Analysis software.

artificial intelligence AI in children's pediatric healthcare

10 ways AI, robotics are improving pediatric care in real-world settings

For whatever reason, the grownups seem to get all the attention when talk turns to AI in healthcare. All the kiddos get to do is look on and listen in. Now comes a worthy little effort to balance the seesaw.

artificial intelligence partnership on AI global cooperation

Partnership on AI valiantly trying to wrap arms around the world

It’s going to take a multinational effort for the global AI community—such as it is—to avoid the emergence of a “fragmented AI landscape.” 

Las Vegas

HLTH24 in Las Vegas: Highlighted news and announcements

The popular annual conference that brings in diverse healthcare professionals from all over the world is wrapping up. Here are some of the big announcements.

Around the web

The American College of Cardiology has sent a letter to HHS Secretary Robert F. Kennedy Jr. that outlines some of the organization’s central priorities and concerns. 

One product is being pulled from the market, and the other is receiving updated instructions for use.

If the Trump administration continues taking a laissez-faire stance toward AI—including AI used in healthcare—why not let the states go it alone on regulating the technology?