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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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.

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How AI could push sleep medicine forward

AI technology could be a game-changer for the diagnosis and treatment of sleep disorders, according to a new statement from the American Academy of Sleep Medicine (AASM).

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Radiologists identify second type of schizophrenia, challenging conventional knowledge

The discovery came after researchers combed through hundreds of brain scans and found that nearly 40% of patients did not have the reduced gray matter volumes typically seen in those with the disorder.

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How AI, VR will train the surgeons of tomorrow

AI can play a key role in the development of state-of-the-art training techniques for surgery, according to new findings published in PLOS One.