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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FDA approves first AI-assisted cardiac MRI scanner

Los Altos, California-based HeartVista has gained approval from the Food and Drug Administration for its one-click heart MRI examination tool. 

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Facebook, NYU continue collaboration to speed up medical imaging with AI

Facebook and the NYU School of Medicine made headlines back in August 2018 when they announced their plan to improve MRI times using AI.

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MRI technique may make diagnosing liver cancer easier, scientists say

Experts with Charité – Universitätsmedizin Berlin have developed a new diagnostic technique to let doctors visualize liver tumors using “tomoelastography,” which combines tomography and elasticity.

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Patient-specific dose measurement improves therapy for neuroendocrine tumors

A team of Swedish researchers found that a hybrid planar and SPECT imaging method fell short in accurately measuring the absorbed treatment dose in some patients, but importantly, performed well in those with bone marrow metastases.

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NIH-backed study investigating 3D vs 2D mammography gaining steam

As of now the Tomosynthesis Mammographic Imaging Screening Trial (TMIST) has enrolled 16,505 participants across a number of certified mammography clinics in the U.S., Canada and Argentina, with more sites and participants to come.

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‘One of the rarest medical isotopes in the world’: Canadian orgs partner to advance cancer research

Canadian Nuclear Laboratories and TRIUMF, the country’s particle accelerator center, have successfully produced actinium-225—a rare isotope that can be used for novel cancer therapy treatments.

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Addressing social determinants may boost BI-RADS 3 follow-up rates

“Because BI-RADS 3 breast lesions have up to 2% likelihood of malignancy, it is imperative that optimal follow-up of BI-RADS 3 test results be addressed...," authors of the new study published in JACR wrote.

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AI can predict MR sequence types, saving providers time

Researchers found that deep convolutional neural networks (CNNs) can predict sequence types for brain MR images, sharing their findings in the Journal of Digital Imaging.