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Brain scan images can be used to identify patients

Commercially available face recognition software accurately identified patient’s based solely on their brain MRI scans. The findings suggest more resources must be put into securing imaging data.

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Taking BP meds at bedtime slashes CVD risk

The largest study of its kind has found that taking blood pressure medication at bedtime—as opposed to first thing in the morning—lowers heart patients’ risk of death and CV-related illness in the long run.

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Protective methods to measure radioiodine exposure may be inadequate

Exposure to radioiodine can lead to DNA damage in thyroid cells and other tissue, but new research suggests current radiation protection principles may not be sufficiently monitoring radiation exposure to nuclear medicine professionals.

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Cleveland Clinic’s top 10 medical innovations for 2020

Cleveland Clinic has released its rankings for the best medical innovations for 2020.

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CDS won't replace radiologists in pediatric emergency cases

Access to clinical decision support systems or not, pediatric emergency care physicians value and will continue to seek radiologists' input in imaging decision-making.

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AI could help diagnose thyroid nodules

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The combination of machine learning and ultrasound could help healthcare providers with the diagnosis of thyroid nodules, according to new findings published in JAMA Otolaryngology.

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FTC to study the impact of hospital, health system mergers

The Federal Trade Commission has taken special interest in mergers and acquisitions in the healthcare space and the role increasingly bigger companies play when it comes to healthcare costs and quality of services.

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Software accurately identifies patients using brain MRI scans, Mayo study finds

Facial recognition software paired patient photographs to their corresponding MRI scans 83% of the time, according to new research out of the Mayo Clinic.

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Biogen to seek FDA approval for Alzheimer’s drug

Biogen, a biotech company based in Massachusetts, is planning to seek approval from the FDA for an experimental drug that targets the underlying causes of Alzheimer’s disease.

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Why all AI strategies need an imaging informaticist

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

Discussions about AI and radiology often focus on the researchers who help develop the algorithms and radiologists themselves. But a new analysis published in Academic Radiology shines a light on another key role in the implementation of AI: the imaging informaticist.

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