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Machine learning bests physicians in predicting heart disease mortality

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A machine learning platform accurately predicted mortality in patients with heart disease, outperforming models created by medical experts, according to an Aug. 31 study in PLOS One.

  • Read more about Machine learning bests physicians in predicting heart disease mortality

8 keys for radiology to embrace the value-based era

It’s a great time to be a radiologist. Imaging technology is advancing, jobs are plentiful and wages are healthy, wrote a pair of radiologists in a Sept. 4 Radiology commentary. At the same time, costs are rapidly increasing.

  • Read more about 8 keys for radiology to embrace the value-based era

Back to school: What radiologists can learn from bipedal evolution

Evolution

The ability to walk upright on two feet required millions of years of evolution, and even today humans are not perfectly adapted to bipedalism, argued authors in a recent Academic Radiology perspective.

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CDC releases new guidelines for children with mTBI

The CDC released new guidelines for the diagnosis and treatment of mild traumatic brain injury (mTBI) in children on Tuesday, Sept. 4, in JAMA Pediatrics.

  • Read more about CDC releases new guidelines for children with mTBI

Why perception makes or breaks radiology education programs, clinical practices

In a Sept. 3 editorial in Academic Radiology, Richard Gunderman, MD, PhD, and Parth Patel, from the Indiana University School of Medicine, discussed how radiologists may find more joy in their work and improve their clinical performance if they develop a deeper understanding of perception.

  • Read more about Why perception makes or breaks radiology education programs, clinical practices

Elastography, echogenicity discriminate plaques in symptomatic stenosis patients

Combining ultrasound elastography and echogenicity analysis may better distinguish between plaques in patients with symptomatic internal carotid artery (ICA) stenosis than in those without symptoms, according to an Aug. 30 study in the American Journal of Roentgenology.

  • Read more about Elastography, echogenicity discriminate plaques in symptomatic stenosis patients

Lung cancer screening model uses personalized data to improve predictive value

Quantitative imaging and lung cancer

Researchers found that incorporating lung nodule features and patient-specific characteristics improved the positive predictive ability of a cancer screening model while maintaining low-dose CT scan sensitivity, according to research published in the Journal of the American College of Radiology.

  • Read more about Lung cancer screening model uses personalized data to improve predictive value

Brain scan distinguishes between bipolar disorder, depression

Functional MRI (fMRI) may be the key to identifying specific neurons in the brain that are central to distinguishing bipolar disorder from depression, reported researchers in a recent Biological Psychiatry: Cognitive Neuroscience and Neuroimaging study.

  • Read more about Brain scan distinguishes between bipolar disorder, depression

Singapore team uses AI to stop progression of prostate cancer

A team of Singapore-based researchers has created an artificial intelligence (AI) platform capable of calculating a patient’s optimal prostate cancer drug dosage that ultimately stopped the disease’s progression in a patient, according to a study published in Advanced Therapeutics.

  • Read more about Singapore team uses AI to stop progression of prostate cancer

Gadolinium MRI links left atrial fibrosis to high risk of arrhythmias in endurance athletes

Research presented at the 2018 European Society of Cardiology (ESC) annual meeting found that left atrial fibrosis in endurance athletes could increase risk of arrhythmias like atrial fibrillation (AFib), according to an article published Aug. 31 by Cardiovascular Business.

  • Read more about Gadolinium MRI links left atrial fibrosis to high risk of arrhythmias in endurance athletes

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