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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CV outcomes underreported in pivotal anticancer trials

A recent review of pivotal cancer drug trials suggests that CVD and adverse cardiovascular outcomes are underreported in studies of new cancer therapies, despite an increasing risk of cardiotoxicity in oncological drugs.

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Highly touted Alzheimer’s drugs fail to slow cognitive decline

Randall Batemen, MD, principal investigator of the research and a neurologist at Washington University in St. Louis, told the New York Times the results were "really crushing."

AI’s role in assessing PET/CT images, diagnosing brain disease

Deep learning-based AI models can improve the segmentation of white matter in 18F-FDG PET/CT images, according to a new study published in the Journal of Digital Imaging. This helps radiologists with the early diagnosis of neurodegenerative disease.

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FDA greenlights AI tool to help novices obtain heart ultrasound images

Caption Guidance serves as an accessory to certain diagnostic systems, aiding clinicians in capturing high-quality cardiac scans. 

NIH division awards $2.5M for PET-based Alzheimer's research

The National Institute on Aging awarded Wake Forest School of Medicine a five-year grant to examine if a novel PET tracer can help researchers tackle the disease.

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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.