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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How AI-powered triage impacts radiology, radiologists

AI can provide significant value to radiologists by sending urgent imaging studies to the top of their worklists, according to a new analysis published in Academic Radiology.

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Google canceled publication of chest x-ray dataset due to privacy concerns

Google was hoping to release a massive dataset of chest x-rays to the public in 2017, but had to cancel at the last minute after receiving an urgent call from the National Institutes of Health (NIH).   

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AI system for ultrasound-based heart scans receives FDA approval

Ultromics, a U.K.-based healthcare technology company, has gained FDA clearance for its new AI-powered image analysis solution.

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3 can't-miss AI sessions at RSNA 2019

RSNA 2019, the world’s largest radiology conference, kicks off at Chicago’s McCormick Place on Sunday, Dec. 1. This year's show promises to include more AI content than ever before.

AI-powered imaging solution from Hologic gains FDA approval

Hologic has received FDA approval of its AI-based solution designed to speed up interpretation times for digital breast tomosynthesis (DBT) exams.

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Deep learning could be a game-changer for interpreting cardiac MRI exams

Deep learning techniques have shown potential to change cardiac MRI forever, according to a new analysis published in the American Journal of Roentgenology. However, the authors wrote, it is also important to remember deep learning’s current limitations.

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RadNet announces new AI partnership focused on breast cancer imaging

RadNet has announced a new partnership with Santa Clara, California-based Whiterabbit.ai to improve mammography screening rates and breast cancer care through the use of AI and other advanced technologies.

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As AI continues to evolve, radiologists must once again embrace change

Healthcare technology is constantly changing, something radiologists know all too well. And while some within the specialty have expressed fear or concern over the continued rise of AI, a new commentary in Clinical Radiology noted that it’s all par for the course—and radiologists must rise to the occasion yet again.

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