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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‘Game changer’: MRI contrast agent targets new liver cancer biomarker

Initial results were so successful that the material has been fast-tracked by the FDA in an effort to test its accuracy in human clinical trials.

FDA authorizes AI-powered cardiac ultrasound guidance software

Caption Health, a California-based AI company, has received authorization from the FDA to market its software solution for acquiring echocardiography images in the United States.

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AI improves radiologist performance when detecting breast cancer

AI algorithms can help radiologists achieve a “significant improvement” in their ability to detect breast cancer, according to a new study published in The Lancet Digital Health.

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No gadolinium required: New take on old MRI contrast shows positive results

University of Texas at Dallas researchers applied their novel method to organic radical contrast agents with encouraging conclusions.

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Radiology expert notches $250K from Amazon, Heart Association for speedier MRI interpretation

Chun Yuan beat out the competition by using cloud-computing tools and AI to predict cardiovascular risk through magnetic resonance knee scans. 

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Imaging experts are critical to identifying coronavirus—here’s what to look for

A new special report published in Radiology includes two new case studies of individuals infected with the illness, and details how experts can harness CT to help diagnose 2019-nCoV.

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Brain PET research at critical ‘crossroads,' must move toward collaboration to advance

Nuclear medicine experts called on the field to work together and share data in order to produce the sample sizes needed for further breakthroughs.

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AI extracts osteoarthritis features from imaging findings

Researchers have developed a multitask deep learning model that can effectively assess signs of hip osteoarthritis in x-rays, sharing their findings in Radiology.