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. 

FDA Digital Health Advisory Committee

FDA taking the long view of generative AI in healthcare

The FDA’s fledgling Digital Health Advisory Committee (DHAC) only held its first meeting last week, but it has already committed its thinking to writing. 

patient engagement satisfaction

5 ways to let AI raise patient satisfaction, elevate provider performance

It’s been years since AI proponents started promising big returns on healthcare providers’ investments in the technology. The results have yet to catch up with the pitches. What’s the holdup? 

artificial intelligence AI heart cardiology

Medtronic using AI to identify more TAVR patients in need

Medtronic has launched new research into AI's potential to identify patients with severe aortic stenosis and other worrying symptoms. The company hopes to overcome longstanding health disparities and reach individuals who may otherwise go untreated.

artificial intelligence AI life sciences biopharma

When life sciences met artificial intelligence

The pace of AI adoption is quickening in the sector, which includes biopharmaceuticals, digital health, clinical diagnostics and medical devices.

AI artificial intelligence in healthcare

AdvaMed itemizes AI imperatives for ‘the entire healthcare ecosystem’

If you work with healthcare AI, you owe it to patients, families and communities to keep certain principles top of mind in everything you do. 

artificial intelligence AI value

6 things high-achieving orgs do to wring real value from AI

What makes an organization an AI leader? Demonstrating success in one of two pursuits. 

AI regulation

A modest proposal to rally AI regulators around a simple game plan

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.”

artificial intelligence AI in healthcare

4 points crucial to the nimble regulation of GenAI

With generative AI coming into its own, AI regulators must avoid relying too much on principles of risk management—and not enough on those of uncertainty management.

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.”