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 government

‘First federal CIO’ gives 3 reality checks on governmental AI

The White House’s Office of Management and Budget recently released final guidance for the use of AI by executive-branch departments and agencies.

ai in healthcare

9 notable quotes from 1 big day at an epicenter of AI in healthcare

As AI continues augmenting the expertise of healthcare professionals, look for it to go further and do nothing less than “enhance humanity.”

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 advanced AI model for predicting heart failure risk

The new algorithm from Implicity evaluates implantable device data and monitors patients for changes that suggest they could experience severe heart failure symptoms in the near future. It was designed to alert clinicians up to weeks in advance.

bipartisan house task force on artificial intelligence

About that bipartisan $32B ‘roadmap’ for AI policy: What’s in it for healthcare?

This week Washington took a major step toward nailing down a solid game plan on federal AI spending for everything outside of defense.

Cardiology ranked No. 2 among all specialties with 122 FDA-cleared AI models

Only radiology is associated with more FDA-cleared AI algorithms than cardiology, according to new federal data. 

byoai bring your own GenAI to work

Almost 80% of knowledge workers bring their own GenAI to work

Around the world, 3 of 4 workers who routinely handle information are now using generative AI on the job. And almost half of them are new to the technology, having begun using it only over the past half-year.

underutilized healthcare data

So much healthcare data, so many missed opportunities

Four of five hospital leaders trust the accuracy of their institution’s data. Yet almost half of useable data gets underutilized if not completely untapped for guiding business and clinical decisions.

Biden Administration itemizes AI accomplishments to date

Half a year after President Biden officially directed federal agencies in the executive branch’s bailiwick to “seize the promise and manage the risks” of AI, the White House has posted a status report.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

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.”