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. 

Video interview with Allen Taylor, MD, chairman of cardiology at Medstar, who explains use of AI CCTA plaque analysis at Medstar to improve risk assessments.

AI software takes cardiac risk assessments to another level

Allen Taylor, MD, thinks AI-powered plaque evaluations can make a substantial impact on patient care. 

older americans wary of AI

Healthcare AI today: AI stink-eye, disrespect for AI-toting docs, super-eager clinical adopters, more

Gen Xers and their elders tend to believe AI will do more harm than good. More than half of American adults 50 and older place themselves in that somewhat cynical category

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AI can be health equity’s best friend—or one of its worst frenemies

AI can hurt or help the cause of advancing equality of resources, services and outcomes in healthcare. If it’s to do more helping than hurting, the technology must permeate primary care—and do so with certain goals and guidelines. 

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CT workflows improve with help of deep learning 3D camera for patient positioning

These specialized, AI-powered cameras can automate and optimize patient positioning based on their body habitus and placement on the table.

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Imaging artificial intelligence vendor files for $100M IPO

Heartflow filed necessary documents for the public offering on Thursday following positive news related to its key software, including proposed coverage under the MPFS. 

Banner ASC in Sun City, Arizona.

Patient radiation exposure reduced by up to 99% with new reconstruction algorithm

Not only could its use reduce wait times, but it also could cut the associated costs of imaging.

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Heartflow, a leader in AI-powered imaging evaluations, files for IPO

Heartflow, known for its AI-based CCTA evaluations, appears to be going public. The news follows years of momentum for the California-based company, including improved Medicare reimbursements for cardiac CT and a new Category I CPT code for its Plaque Analysis software.

New data highlight how Heartflow's AI software drives major shifts in heart care

One of the study's most significant findings was that patients managed using the advanced AI software saw LDL cholesterol drops of 18.7 mg/dL, with a 15% reduction in their risk of a cardiac event. Even patients with no calcified plaque saw significant changes in care management.