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. 

sustainable AI in healthcare

Sustainable AI: 5 ways healthcare can do its part

Did you know healthcare is responsible for 4.4% of global greenhouse gas emissions? 

artificial intelligence AI in healthcare

5 measures of AI maturity in which healthcare has some growing up to do

There may be upsides to being less mature at this stage of society’s AI shift—relentless optimism could detract from mitigating potential risks.

Cardiologist Ami B. Bhatt, MD, a digital health specialist and longtime member of the American College of Cardiology (ACC), will serve as the Digital Health Advisory Committee's very first chair.

Cardiologist to chair new FDA advisory committee focused on AI, other digital health technologies

The Digital Health Advisory Committee is tasked with providing perspective and recommendations on a wide variety of topics. These insights will then help the FDA draft new policies and make other important decisions.

artificial intelligence consultation

Generative AI explains echo results to heart patients

Researchers used OpenAI’s ChatGPT technology to build 100 patient-friendly echo reports, evaluating each one for accuracy, relevance and understandability. The AI reports passed the test with flying colors. 

ai artificial intelligence in healthcare

Healthcare gets a quick checkup for signs of gen AI metabolization

It’s easy to forget that generative AI launched into the economy—and the public imagination—less than two years ago. How could it be otherwise?

artificial intelligence in healthcare

10 aspects of healthcare AI to which attention must be paid

Patient safety should be the No. 1 consideration for healthcare organizations working, planning or hoping to adopt AI. Then again, nine other concerns are similarly crucial to the success of the industry-wide endeavor.

healthcare artificial intelligence AI

How to adopt healthcare AI in 3 overlapping yet distinct phases

Here’s a factoid you may not have seen coming. By 2030, the six countries of the Gulf Cooperation Council annually purchase more than $23 billion worth of products and services related to generative AI.

healthcare AI

Are these the 5 best healthcare AI products money can buy?

No time like the present to canvass experts for their opinions on which tools are tops. 

Around the web

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

Trimed Popup
Trimed Popup