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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Siemens Healthineers shares 2 AI-powered MRI solutions

Siemens Healthineers has announced the arrival of two new AI-based software assistants designed to help radiologists interpret MRI examinations. The solutions were officially introduced to the public at RSNA 2019 in Chicago.

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E-scooter study finds more injuries in CT scans and x-rays

A significant portion of people who undergo a CT scan or x-ray after an electric scooter accident had injuries, according to a study presented at the 2019 RSNA annual meeting.

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RSNA 2019: Focused ultrasound may open pathway for treating Alzheimer’s

Bypassing the blood-brain barrier has long been a challenge for clinicians, but focused ultrasound can open specific pathways and help deliver targeted treatments to those suffering from the disease.

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RSNA 2019: AI can do a lot for radiologists—but not everything

The rise of AI is one of the most popular topics in all of radiology, but there are still clear limits to its potential.

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RSNA announces winners of annual AI challenge

RSNA announced the winners of its third annual AI competition, the RSNA Intracranial Hemorrhage Detection and Classification Challenge, at RSNA 2019 in Chicago.

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More frequent breast cancer screenings catch disease earlier

Annual mammography screenings find cancer in patients at a less advanced stage than those who have a mammogram every two years, according to a new study presented at the annual meeting of the Radiological Society of North America.

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Zebra Medical Vision’s AI solution for pleural effusion gains FDA clearance

Zebra Medical Vision has received FDA clearance for an AI solution designed to identify pleural effusion in chest x-rays.

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AI model could help radiologists diagnose lung cancer

Deep learning-based prediction models can help healthcare providers diagnose small pulmonary nodules, according to a new study published in Academic Radiology.