Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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Aidoc announces CE mark for the first AI-based workflow tool for Pulmonary Embolism

Aidoc’s solution for flagging and prioritizing pulmonary embolisms is now commercially available in Europe

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Dutch company raises $11.3M to expand AI platform that detects lung cancer

Aidence, a Netherlands-based medical imaging company, has raised about $11.3 million in funding to expand its AI-powered platform for detecting lung cancer.

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How AI can improve mammography

There are four areas in which AI must excel to become clinically viable in women’s medical imaging—particularly mammography: performance, time, workflow and cost, according to an opinion article published in the American Journal of Roentgenology.

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Ohio health system uses AI to help stroke patients

Kettering Health Network, an Ohio-based health system, is using AI to reverse the effects of strokes quicker, according to a report by WDTN News.

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AI classifies low- and high-risk prostate cancer

A new framework combining machine learning and radiomics will help distinguish between low- and high-risk prostate cancer, according to new research published in Scientific Reports.

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AI among top growth opportunities for precision medical imaging

As the healthcare industry shifts to providing more personalized care, the precision medical imaging market could see tremendous growth thanks to new technologies, such as AI and deep learning, clinical decision support software, sensors, 3D printing and precision analytics, according to a report from Frost & Sullivan.

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AI shows female brains are 3.8 years younger than male counterparts

An AI algorithm helped determine adult women’s brains are, on average, a few years younger than the brains of males of the same age, according to research published in the Proceedings of the National Academy of Sciences.

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AI classifies pediatric elbow abnormalities with 88% accuracy

A deep learning model classified acute and nonacute pediatric elbow abnormalities on radiographs in trauma with 88 percent accuracy, according to new research published in Radiology: Artificial Intelligence. 

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Medsender, Patagonia Health team up to aid public health efforts against COVID-19

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