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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University developing AI-enhanced imaging system to aid domestic violence victims

George Mason University received an anonymous $4.85M donation to advance the project.

March 8, 2024
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.

March 7, 2024
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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

March 7, 2024
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Generative AI: Who’s disrupting whom?

Given the speed at which generative AI has penetrated every major sector of human endeavor, no expert in any field should pretend to know how to cleanly separate the disruptors from the disrupted.

March 7, 2024
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FDA grants AI software for imaging-based heart assessments its breakthrough device designation

The new software was also added to the FDA's Tap Pilot program, an honor reserved for “high-quality, safe, effective and innovative medical devices."

March 5, 2024
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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

March 5, 2024
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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.

March 5, 2024
Wrist

AI shows potential to diagnose wrist fractures as well as radiologists

Manual reviews of X-rays remains important, because the true effectiveness of AI is still hard to quantify.

March 1, 2024