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. 

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Man vs. Machine artificial intelligence AI

Scope of FDA’s power over AI an ‘unsettled’—and unsettling—question

As AI is increasingly integrated into healthcare, the sheriff is conspicuously MIA. 

hospitals navigating AI complexities survey

How are hospitals navigating AI’s complexities? Surveyors ask and tell

Only 16% of almost three dozen healthcare executives report having a policy for AI governance.

artificial intelligence terminology AHA

5 terms every hospital trustee—and healthcare AI stakeholder—should know

As AI continues infiltrating healthcare at nearly every level, the technology’s potential for good and ill must become—or remain—a preeminent concern for hospital boards of trustees.

transparency in artificial intelligence CDRH

Healthcare stakeholders to AI-equipped devices: We don’t trust you if we don’t know what you don’t know

It’s not easy to get patients, providers, payers, vendors and regulators to agree on any one aspect of healthcare delivery. But the CDRH recently managed to get everyone to settle on a working definition of transparency.

healthcare technology safety hazards ECRI

ECRI: Top 10 healthcare technology hazards that are avoidable (by suppliers) and/or minimizable (by providers)

The nonprofit patient-safety organization says the list “reflects our judgment about which risks should be given attention now to help care providers, as well as device manufacturers, prioritize their patient safety efforts.”

chief artificial intelligence officer

If you haven’t met your chief AI officer yet, chances are you soon will

Members of C-suites around the world are making room for a new teammate: the CAIO. In healthcare, some organizations are hiring for the even more specialized position of CHAIO, for chief health AI officer.

Artificial intelligence adoption

Healthcare leaders feeling their way into, through AI adoption

More than 90% of newly surveyed healthcare leaders expect AI adoption will help make or break their institution’s prospects for long-term growth and success. 

Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging. 

 

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Q&A: MedAxiom CEO explores key trends in cardiologist, cardiovascular surgeon compensation

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.

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Payment cuts and beyond: Key takeaways for cardiologists from the 2025 Medicare Physician Fee Schedule

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. 

AI in Healthcare
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.”