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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AI improves image quality for diagnosis of liver lesions

AI can improve CT findings and play a key role in the evaluation of hypovascular hepatic metastases, according to a new study published in Radiology: Artificial Intelligence.

Change Healthcare introduces AI to its CDS system

Change Healthcare has added AI capabilities to its CareSelect Imaging clinical decision support (CDS) solution.

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What radiologists should know about vaping-related lung injuries

A group of U.S. researchers analyzed literature on the topic, summarizing imaging findings to help radiologists identify signs of vaping-related lung injuries. The results were published Oct. 8 in the American Journal of Roentgenology.

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Can AI match the performance of PI-RADS assessments?

A convolutional neural network (CNN) could assist radiologists with the detection and segmentation of suspicious findings on prostate MRI scans, according to a new study published in Radiology.

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New MRI technique uses lower magnetic field

National Institutes of Health experts have developed a new high-performing MRI method that uses a low magnetic field and could open a whole new wealth of possibilities for the technology.

SHINE closes $50M in financing to support isotope production

The funds, managed by Oaktree Capital Management, will support SHINE’s commercialization of molybdenum-99 and lutetium-177 (Lu-177) in addition to construction of the physical production facility.

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Can radiologists confidently use contrast-enhanced ultrasound LI-RADS?

The American College of Radiology released the contrast-specific LI-RADS system in response to the widespread use of the material in clinical practice. To date, however, few studies have analyzed its interreader agreement, and in those that have, results have been inconsistent.

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Which breast cancer phenotypes have the greatest influence on MRI?

Breast cancer phenotype can influence MRI’s ability to evaluate the effectiveness of chemotherapy, according to a study published Oct. 4 in the European Journal of Radiology. But which specific tumor subtypes have the greatest impact on the modality’s performance?