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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Dizzying Costs Are Treatable

Has the value-based U.S. healthcare system become so focused on the bottom line that care is, in cases, getting compromised? 

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PET brain scans help connect the dots between CTE, tackle football

PET brain scans of living former NFL players with cognitive and neuropsychiatric symptoms showed higher tau levels than controls in brain regions typically affected by chronic traumatic encephalopathy (CTE), according to an April 11 study published in the New England Journal of Medicine (NEJM).

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AI helps ID schizophrenia through brain imaging

Researchers have identified an approach for more accurately diagnosing schizophrenia using AI, bringing some objectivity to the field of neurodevelopmental disorder diagnosis, according to a study published in the May edition of Artificial Intelligence in Medicine.

Researchers use deep learning, ECGs to detect hyperkalemia

A deep learning model trained on more than 1.5 million electrocardiograms can reliably detect hyperkalemia—or abnormally high potassium levels in the blood—among patients with chronic kidney disease (CKD), Mayo Clinic researchers reported April 3 in JAMA Cardiology.

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ACR, SNMMI collaborate on new clinical data registry

The American College of Radiology (ACR) and Society of Nuclear Medicine and Molecular Imaging (SNMMI) have joined forces to launch a new nuclear medicine clinical data registry.

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68Ga-PSMA-11 PET has positive impact on prostate cancer patients

The PET radiotracer 68Ga-PSMA-11 improved the detection of biochemically recurrent prostate cancer, according to results of a prospective trial published in JAMA Oncology.

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7T MRI tracks lesion progression in MS, but is it clinically feasible?

High-strength 7T MRI can better track cortical brain lesions and play a crucial role in evaluating the progression of multiple sclerosis (MS), but some experts aren't sure it is clinically feasible.

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Chi-square risk estimation helps reduce noise in MR images

A combination of the established denoising algorithm NeighShrink and chi-square unbiased risk estimation (CURE) could reduce noise in magnetic resonance (MR) images more effectively than traditional methods, according to research published in Artificial Intelligence in Medicine.