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Reported in 2018 by anesthesiologists at the University of Florida College of Medicine in Gainesville, the case suggested a message to TAVR operators: “Vigilance and a high degree of suspicion” are critical for avoiding the potentially severe hemodynamic consequences of HCM associated with aortic stenosis, the authors asserted (J Med Case Rep 2018;18;12[1]:372).

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At the American College of Radiology’s 2019 meeting last May, speaker after speaker stepped up to the open microphone in the ballroom of a Washington, D.C., hotel to vent their displeasure with the American Board of Radiology (ABR) and its maintenance of certification (MOC) program.

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Ahead of print in Radiology Business Journal: As private medical practices continue feeling the squeeze of consolidation across U.S. healthcare, many radiology groups are considering acquisition offers from physician practice management companies (PPMCs).

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Until recently, cardiologists’ eyes tended to glaze over at the mention of using 3D printing in their practices. Most believed the costs would be too high for routine use, that the applications and the price tag were better suited to academic applications.

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To get the operational perspective, CVB hosted a roundtable discussion with service line leaders about the opportunities and challenges they encounter around data.
 

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Experienced dyad and triad partners share tips for setting the stage for success and putting the brakes on mistakes.

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As many as 700 hearts from donors with hepatitis C are discarded each year in the U.S. New research suggests at least some of these organs may be suitable for transplant.

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Following data supporting their use for heart failure and type 2 diabetes, will sodium-glucose cotransporter 2 inhibitors find a spot in the heart failure armamentarium?

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A new project is seeking to make MRI scans up to 10 times faster by capturing less data. NYU’s Center for Advanced Imaging Innovation and Research (CAI2R) is working with the Facebook Artificial Intelligence Research group to “train artificial neural networks to recognize the underlying structure of the images to fill in views omitted from the accelerated scan.”

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Machine learning is one of the hottest topics in radiology and all of healthcare, but reading the latest and greatest ML research can be difficult, even for experienced medical professionals. A new analysis written by a team at Northern Ireland’s Belfast City Hospital and published in the American Journal of Roentgenology was written with that very problem in mind.

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A compilation of the latest news in AI and machine learning

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As an integrated health-delivery network comprising 13 hospital campuses, two research centers and a health plan with more than half a million subscribers sitting atop the biggest biobank with whole exome (DNA) sequence data in existence, Pennsylvania’s Geisinger Health System is one of the best-positioned institutions in the U.S. to explore the possibilities and initial successes of AI in healthcare. The institution is bringing complex algorithmic concepts to everyday patient care and showing others the path forward.

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More than 2,000 cardiologists are required to participate in the new payment model. According to CMS, the long-term goal is to track and reduce the high healthcare costs associated with treating heart failure.