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. 

AI in healthcare

Said and heard this week in and around healthcare

10 notable quotes about AI from the past 5 days.

artificial intelligence AI in the C suite

It’s 2024. Does the C-suite know—or care—what workers are doing with generative AI?

In the rush to do something, anything with AI, are America’s business leaders playing fast and loose with the risks? 

voice audio recording smartphone

AI detects hypertension in voice recordings

A machine learning-powered smartphone app was trained to detect hundreds of biomarkers in the human voice, using even the tiniest detail to anticipate when patients may present with symptoms of hypertension. 

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. 

Around the web

Heart Rhythm Society President Kenneth A. Ellenbogen, MD, detailed a new advocacy group focused on improving EP reimbursements, patient care and access. “If you’re not at the table, you’re on the menu," he said.

CMS finalized a significant policy change when it increased the Medicare payments hospitals receive for performing CCTA exams. What, exactly, does the update mean for cardiologists, billing specialists and other hospital employees?

Stryker, a global medtech company based out of Michigan, has kicked off 2025 with a bit of excitement. The company says Inari’s peripheral vascular portfolio is highly complementary to its own neurovascular portfolio.