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. 

New imaging agent now steps closer to personalizing cancer therapy

It's been tested in mouse models, but was recently approved for investigational use in small breast-cancer clinical trials.

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Radiologist, other docs launching new medical credentialing agency focused on AI

Physicians spearheading this effort recently incorporated the new not-for-profit, which they’re calling the American Board of Artificial Intelligence in Medicine, or ABAIM. 

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Free coronavirus risk assessments coming to a smartphone near you

Researchers are finalizing a new AI-powered smartphone app for assessing a user’s risk of being infected with the new coronavirus.

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AI-produced CT biomarkers predict heart attack, death—topping traditional risk scoring

The heart-based risk information was taken from colorectal cancer screening exams and beat out the Framingham risk score and body mass index.

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AI firm led by billionaire ‘serial entrepreneur’ acquiring radiology vendor TeraRecon

SymphonyAI is focused on business-to-business artificial intelligence solutions, serving industries such as healthcare, manufacturing, retail, oil and media.

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Smart bandage technology could push wound care into the future

AI-powered smart bandages could soon be used to treat severe wounds, monitoring the healing process and delivering various stimuli when appropriate.

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AI fails to beat radiologists in large study, but pairing the two proves prolific

"Studies like this strongly suggest that radiologists will be masters of their domain for quite some time," one expert wrote in a corresponding JAMA editorial. 

Multimodality imaging uncovers ‘landmarks’ for peripheral arterial disease recovery

These new recovery milestones will allow clinicians to pinpoint whether or not a patient is responding to therapy or making the necessary strides toward rehabilitation.