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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AI a hot topic for radiology researchers in 2019

For RSNA’s Radiology journal, AI was one of the most popular topics of 2019.

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Zebra Medical Vision’s AI solutions to be available through Nuance marketplace

Zebra Medical Vision has announced that its bundle of AI-focused solutions will be available through the Nuance AI marketplace.

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‘Accurate, robust’ AI detects lung nodules in chest x-rays

Convolutional neural networks (CNNs) can be trained to detect lung nodules on chest x-rays, according to a new study published in Artificial Intelligence in Medicine.

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ACR DSI shares list of FDA-cleared AI algorithms for medical imaging

The American College of Radiology (ACR) Data Science Institute (DSI) has created a new resource for radiology researchers: a full list of FDA-cleared AI algorithms related to medical imaging.  

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Better together: Radiology researchers see improved results when combining AI models

Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.

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Lunit’s AI solution for x-ray analysis gains CE certification

Lunit, a medical software company based out of South Korea, has gained CE certification for its newest chest x-ray analysis solution, Lunit INSIGHT CXR.

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Q&A: George Shih previews RSNA 2019, discusses AI’s impact on radiology

RSNA 2019 in Chicago is just days away, and the continued evolution of AI in radiology promises to be one of the hottest topics of the entire conference.

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Imaging data help AI models predict lymph node metastasis

Deep learning models can be trained to predict lymph node metastasis in breast cancer patients, according to new findings published in Radiology.

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