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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6 things Medicaid stakeholders can remind the world to always do with healthcare AI

U.S. healthcare will know it’s gotten AI right when the technology demonstrably improves care access, attentiveness and outcomes for the least financially healthy among us. 

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AI is a game-changer for cardiology—it’s time for practices to get on board

Sponsored by NextGen

The use of AI technologies in healthcare has evolved at a breathtaking rate in the last few years. Hype and hypotheticals have been replaced with real, practical tools that help physicians focus on providing high-quality care. 

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4 must-haves for health execs deploying ambient AI scribes at scale

Successfully adopting the technology across wide and varying care settings depends on a whole lot more than just technical sophistication. 

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Autonomous AI reduces radiologists' breast cancer screening workload in real-world setting

Deployed in screening mammography, the tool identifies normal, low-risk exams and eliminates the need for double reads. 

Example of an automated artificial intelligence (AI) assessment of soft coronary plaque from a CT scan from the vendor Cleerly. This image shows the AI's reconstruction of a patient's coronary tree and color codes the vessel segments by the amount of overall plaque burden. The AI gives a very detailed report of all the plaque in all the coronary vessels. Some cardiology experts believe this may be the way of the future in screening patients for early coronary disease and monitoring the impact of prevention

AI-powered CCTA assessments show ‘close agreement’ with IVUS

Advanced AI software developed by Cleerly consistently produced plaque assessments comparable to intravascular ultrasound. 

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US doctors scoot toward 100% AI adoption

A new Doximity survey shows 94% of American physicians using AI or at least keen on it. Just as tellingly, the pace of adoption is brisk and accelerating. 

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New real-world evidence supports the use of AI in lung cancer screening

Though the study of AI in lung cancer screening is not new, prior research has been retrospective in nature, making it challenging to determine the impact. 

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Not all AI is created equal—experts caution against 'useless' applications

“If we are not careful, we run the risk of spending more time admiring these novelty-driven tools than advancing the real frontiers of radiology.”