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.

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.”
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 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.
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.
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.

AI is most beneficial as a prescreening tool, new research suggests

Researchers deployed AI in multiple interpretation scenarios to assess how it might impact radiologists’ performances.

Newswatch: AI researchers weigh in, AI humanizes healthcare, ‘the worst AI will ever be,’ more

Contrary to popular misgivings, AI may be improving the human touch in healthcare.

How generative AI for healthcare is similar to—and different from—its conventional older cousin

The National Academy of Medicine considers some pertinent ins and outs of GenAI.

RadNet to acquire breast imaging AI vendor iCAD for $103M

The acquisition will give Los Angeles-based RadNet an installed base of more than 1,500 healthcare provider locations, facilitating 8 million mammograms across 50 countries.

AI bests radiologists at computed tomography angiography reads

CTA offers enhanced visualization for radiologists to assess patients’ risk of CAD, but the manual quantification process can be time-consuming.

FDA clears AI-powered echocardiography software

HeartFocus guides users through the entire process, making it so that even novices can deliver high-quality echocardiograms every time.

American-made GPT-4 knows no borders, translates radiology reports into different languages

New research highlights the potential of GPT-4 to enhance radiologists’ communication of findings in clinical environments across the pond.

FDA takes first step toward ending animal testing as part of ‘3.0 modernization'

Monoclonal antibody therapies will be the first drugs permitted to take advantage of alternatives, including advanced lab simulations and artificial intelligence. A pilot framework to phase out the decades-long requirement for animal testing will be rolled out in the coming year, the FDA said.

Artificial Intelligence

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

Radiology artificial intelligence firm Aidoc raises $150M

AI elevates telemedicine and protects its data too

AI software takes cardiac risk assessments to another level

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