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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Medical 3D printing is outpacing ways to pay for it

While three-dimensional printing has been used in various industries for more than three decades, it took medicine just three or so years to catapult the technology into the popular imagination. Among burgeoning areas of healthcare innovation, probably AI alone has made more headlines in that short a span. And life-size models of individual patients’ organs, which allow surgeons to carefully plan complex procedures and consult with patients and families, are just the start.

April 23, 2018

Self-correcting robotic system ensures accurate CT-guided needle placement

A robotic needle-placement system outfitted with correction software to improve its accuracy in mechanizing computed tomography (CT)-guided needle placement, according to a study published ahead of print in the Journal of Vascular and Interventional Radiology.

April 19, 2018

Densitas gains FDA clearance for machine learning software that assesses breast density

Densitas, a medical device company based out of Halifax, Nova Scotia, Canada, announced that DENSITAS|density, its software that uses machine learning to produce breast density reports, has gained FDA clearance.

April 16, 2018
Artificial intelligence

CEO lists 6 reasons radiology will soon be ‘completely revolutionized’ by AI

Elad Walach, founder and CEO of the medical imaging company Aidoc, is one of many in the industry who believes radiology will be transformed by artificial intelligence (AI) sooner rather than later. He went into detail on the topic in a new column published in Forbes.

April 12, 2018

Radiology supercomputer ‘Clara’ could improve imaging in a big way

Radiology supercomputer “Project Clara” could improve imaging quality while speeding up the detection of fatal diseases like cancer and heart failure, Forbes has reported.

April 11, 2018

Rediscovering radiology’s ‘soul’ in the AI era

Despite radiology’s love-hate relationship with artificial intelligence (AI), advancements could afford the field an opportunity to “hit refresh” and reinvent itself, Emory University professor and radiologist Srini Tridandapani, PhD, MD, MSCR, wrote in Academic Radiology this month.

April 9, 2018

Virtual world ‘Second Life’ could present new learning opportunities for radiology students

As online learning options for radiology continue to grow, some students are turning to Second Life—a virtual community developed by its own users and reigned by avatars—to complete their medical education, researchers in Malaga, Spain, have found.

April 6, 2018

Brainomix raises $9.8M in funding to market AI solutions

Brainomix, a U.K.-based medical imaging company focused on artificial intelligence (AI), announced Tuesday, April 3, that it has secured $9.8 million (£7 million) to help market its software for treating stroke victims throughout the world.

April 3, 2018

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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