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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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.

FDA clears advanced AI model for predicting heart failure risk

The new algorithm from Implicity evaluates implantable device data and monitors patients for changes that suggest they could experience severe heart failure symptoms in the near future. It was designed to alert clinicians up to weeks in advance.

HeartFlow Plaque Analysis

AI-powered coronary plaque assessments show ‘strong agreement’ with IVUS

HeartFlow's noninvasive Plaque Analysis technology, which uses AI to evaluate CCTA images, delivered assessments that mostly lined up with IVUS results. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

bipartisan house task force on artificial intelligence

About that bipartisan $32B ‘roadmap’ for AI policy: What’s in it for healthcare?

This week Washington took a major step toward nailing down a solid game plan on federal AI spending for everything outside of defense.

radiology residents give back

AI model for ankle stress radiography could reduce radiologists’ workload by average of 70%

Interpreting such exams can be a “subjective and time-consuming task,” researchers detailed in Academic Radiology.  

AI-based CAD assessments dramatically improve vascular surgery outcomes

PAD patients evaluated with HeartFlow's noninvasive FFRCT Analysis technology prior to surgery experienced much better outcomes, including a 63% lower risk of all-cause mortality after five years. 

Cardiology ranked No. 2 among all specialties with 122 FDA-cleared AI models

Only radiology is associated with more FDA-cleared AI algorithms than cardiology, according to new federal data. 

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FDA adds more than 120 new AI-enabled medical devices focused on radiology to list of approvals

The FDA has cleared over 150 artificial intelligence- or machine learning-enabled medical devices since the beginning of August.

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