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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Most organizations using AI for radiology are unsure of its ROI

New survey data suggest that AI reimbursement is still lagging. However, leaders remain confident in the technology's long-term impact.

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Patient communication AI company receives $65M in funding from private equity

Artera, a company that utilizes AI for patient communications, made the announcement while revealing it has achieved $100 million in annual revenue. Its products use AI for follow-ups after patient care, in addition to supporting clinical decisions.

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AI news & views in brief: State regulation ban or none, AI in healthcare advertising, more

Will there or won’t there be a federal moratorium on state-level regulation of AI? That’s only one question healthcare stakeholders are asking as 2025’s time begins running out.

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AI has already transformed TAVR care—and the best is yet to come

Advanced AI technologies are starting to play a bigger role in TAVR care, helping cardiologists plan ahead, make critical decisions and predict potential complications. Looking to the future, though, it is clear this is just the beginning. 

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Siemens Healthineers unveils new AI-powered CCTA software

The new software, announced at RSNA 2025 in Chicago, was built to evaluate CCTA images for signs of coronary artery disease and improve cath lab efficiency. 

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Nurses back on the march against AI in healthcare

The nationwide movement of nurses against AI has received an energy infusion.

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AI more accurate than breast density status for predicting cancer risk

Traditional risk assessments, including those related to breast density, might not go far enough, experts caution.

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Radiology societies urge caution when implementing AI in pediatric imaging

Six professional organizations including the Society for Pediatric Radiology made their case in a joint statement published across multiple medical journals Nov. 25.