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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Algorithms to help Hospital Sisters cut wasteful use of surgical services

The Midwestern Catholic health system Hospital Sisters is working with an AI startup to block overutilization of surgical services.

Major health system delivering COVID supplies by drone

The U.S. Federal Aviation Administration has cleared North Carolina-based Novant Health to use unmanned aerial vehicles for transporting PPE and other medical supplies without human-to-human contact.

AI adoption in clinical radiology: 4 ups, 4 downs

If healthcare AI is to improve care and efficiency in clinical practice across medicine, its proponents in radiology must implement it in a structured manner.

Why AI has fallen well short of outsmarting COVID-19

Understood as a virtual army in the war against COVID-19, AI has vast stockpiles of potential weaponry with which to wage many a battle. That’s the good news.

AI’s ‘radical potential’ to personalize medicine using population data

Clinicians equipped with machine learning can, in theory, apply what works for one patient to the care of another—and another, and another—and so on.

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Healthcare AI players advised to see explainability as ‘tailored interpretability’

When applying AI to help answer clinical questions, developers, researchers and clinicians should all remain mindful of the difference between interpretability and explainability.

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Students design new face mask that monitors vital signs

A group of students at Cornell University has developed a new face mask design that monitors the wearer’s vital signs.

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University announces healthcare AI ‘cluster hires’

“Artificial intelligence in precision medical imaging and diagnostics” is among several areas of concentration for which the University of Wisconsin-Madison will be making cluster hires over a period of at least two years.

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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.

Cardiovascular Business
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.”