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. 

Trump AI action plan event

Healthcare AI today: Trump’s American AI offensive, healthcare’s lack of regulatory cohesion, chatbots’ silence, more

President Donald Trump has crystallized his No. 1 priority for artificial intelligence. Unshockingly, it’s “winning the AI race.” 

money dollar funding fundraising artificial intelligence AI

Radiology artificial intelligence firm Aidoc raises $150M

This boosts the New York-based vendor’s fundraising to $370 million since its founding in 2016, with the latest round including a $40 million revolving credit line. 

AI and telehealth telemedicine

AI elevates telemedicine and protects its data too

AI can improve the quality of remotely delivered care while simultaneously defending privacy and security for the telehealth patient. 

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.