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 in scientific research

3 ‘illusions,’ 3 ‘visions’ that AI-using researchers need to know to avoid

Scientists are people too. As such, when engaged in research projects using AI, they must resist the very human impulse to over-delegate tasks to algorithms.

returns on investment in healthcare artificial intelligence

When big returns on AI investment arrive in healthcare, providers will lag behind suppliers in marking the moment: Moody’s

Years will pass before the global economy’s healthcare sector sufficiently leverages AI to build major financial muscle off of it. And even then, industry players are likely to see gains well ahead of hospitals and health systems. 

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.

AI helps cardiologists deliver personalized healthcare—but there is still plenty of work to do

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

legal liability malpractice artificial intelligence

AI in healthcare: 3 areas of likely risk for legal liability

As healthcare AI opens new avenues to improve care quality without unduly increasing operational costs, the technology also expands potential exposure to civil and criminal liabilities. And that’s not only for providers but also payers and suppliers.

nonclinical augmented intelligence american medical association

8 nonclinical AI applications on which physicians are especially keen, according to the AMA

The American Medical Association lays out eight in-demand AI use cases for which the organization says it has heard physicians “express particular enthusiasm.”

google cloud mayo clinic artificial intelligence

What the heck? (And what else tech watchers are saying about Google’s glaring fumble with Gemini)

When asked to depict people by various descriptors, the image generator delivered lots of results that were unintentionally hilarious for their wild inaccuracy.

nvidia artificial intelligence

As Nvidia’s worth hits the stratosphere, AI innovators eyeball new orbits

Here’s what people have been saying about Nvidia’s gradual-then-sudden rise to riches—and what it says about expectations around AI in 2024.  

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. 

Around the web

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.”

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

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