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. 

artificial intelligence AI in healthcare

UN effort afoot to address the world’s ‘governance deficit with respect to AI’

The AI advisory board of the United Nations is calling for the creation of a global AI data framework. 

healthcare providers and payers AI strategy

Providers trail payers in healthcare AI action

If putting an AI plan in place were a team sport, the Payers would be outpacing the Providers quite handily. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

FDA clears AI platform for planning ahead of TAVR, other heart procedures

The cloud-based platform identifies and measures cardiac structures in CT scans.

artificial intelligence AI in healthcare

View from the C-suite: AI, automation key to getting, staying ahead of RCM issues

Healthcare executives have big plans for technology in their revenue cycle management operations. 

Generative AI LLM SLM

AI technical trends to watch for (and not just in healthcare)

Many gen AI end users are finding that large language models (LLMs) defy easy infrastructure setup and affordable management costs. One budding option may be to go with small language models (SMLs) instead. 

healthcare AI return on investment ROI

Number-cruncher quantifies return on investment in healthcare AI

Just by taking notes during patient visits, generative AI could save a five-physician primary care practice $291,200 in one year. The practice would see a return on its AI investment of 94.13% and reach the breakeven point in a bit more than six months. 

robot reviewing heart data

Viz.ai partners with Cleerly in the name of AI-based CCTA evaluations

The new partnership is focused on getting advanced AI algorithms into the hands of cardiologists.

Healthcare CIO on the job

Today’s healthcare CIO: Enterprise strategist or technology tactician?

A new survey shows that, in the generative AI era, two of every three U.S. hospitals let the CIO’s office handle the selection and acquisition of data analytics platforms.

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?