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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New algorithm models radiologists' eye movements to interpret chest X-rays

The algorithm has an edge over standard black box-style artificial intelligence applications because providers are able to see how it reaches conclusions.

Heartflow artificial intelligence CCTA images

AI leader Heartflow enters new era focused on delivering personalized care for CAD patients

The company's AI-powered CCTA assessments have already been used to help manage more than 400,000 heart patients around the world.

ezra

Imaging startup Ezra hopes to launch 15-minute, $500 whole-body MRI by 2026

The New York-based healthcare AI firm has scored U.S. Food and Drug Administration clearance for its Ezra Flash, a class 2 medical device. 

Donald J. Trump 2024

Healthcare AI newswatch: Trump-era AI regs, AI sign language, AI dentistry, more

The Trump administration will probably play to type when it comes to regulating AI. 

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Imaging industry lobbying group criticizes FDA staffing cuts

The list reportedly included the agency's head of medical device safety and 10 of the 40 staffers tasked with reviewing imaging devices.  

Generative AI hospital comparison shopping

Generative AI isn’t changing everything for patients and providers—but it’s not leaving much unaffected, either

Generative AI is altering the way healthcare consumers size up hospitals, group practices and individual providers. But the comparison shopping would pose a challenge to healthcare organizations even if AI hadn’t entered the picture. 

Video of James Min, MD, explaining the future of cardiac care using CT and AI plaque analysis to create a personalized and more accurate cardiac risk assessment, similar to a mammogram for the heart.

Embracing the future: James Min left academia to push for a paradigm shift in preventive cardiology

James Min, MD, Cleerly's founder and CEO, changed careers to address what he saw as a major unmet need in cardiology.

thyroid biopsy

Risk prediction algorithm slashes number of unnecessary thyroid nodule biopsies

Although the vast majority of nodules are benign, many are referred for biopsy as a precaution to rule out malignancy.