Tag: Technology

AI evaluation of ECGs predicts irregular heart rhythm, death risk

Editor's Note Artificial intelligence (AI) was able to predict which patients were likely to develop an irregular heart rhythm, even when physicians interpreted results as normal, and identified patients at increased risk of dying of any cause within 1 year, in this study presented November 16 at the American Heart…

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By: Judy Mathias
November 18, 2019
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FDA clears first duodenoscope with disposable elevator component

Editor's Note The Food & Drug Administration (FDA) on November 15 announced that it had cleared for marketing in the US the first duodenoscope with a sterile, disposable elevator component. The clearance of the Pentax Medical Video ED34-i10T2 duodenoscope represents a major step toward lowering the risk of infection in…

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By: Judy Mathias
November 18, 2019
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2020 OR Business Management Conference around the corner

Anyone seeking a break from the winter weather and a stimulating educational experience will find both at the 2020 OR Business Management Conference (ORBMC), which takes place January 27-30 in Weston, Florida. The highly relevant and timely presentations, along with networking events that connect OR business professionals with colleagues and…

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By: Elizabeth Wood
November 18, 2019
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FDA: Class I recall of Zimmer Biomet’s ROSA Brain 3.0 Robotic Surgery System

Editor's Note The Food & Drug Administration on November 7 identified the recall by Zimmer Biomet of its ROSA Brain 3.0 Robotic Surgery System as Class I, the most serious. The recall was initiated because of a software issue that incorrectly positions the robotic arm. The company has received five…

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By: Judy Mathias
November 14, 2019
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FDA: Class I recall of Philips Medical System’s Forte Gamma Camera System

Editor's Note The Food & Drug Administration (FDA) on November 4 identified Philips Medical System’s (Cleveland) recall of its Forte Gamma Camera System as Class I, the most serious. The recall was initiated because of the potential for the detector, which weighs 660 pounds, to become detached from the device…

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By: Judy Mathias
November 6, 2019
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FDA: Class I recall of Abbott CentriMag Circulatory Support System

Editor's Note The Food and Drug Administration on November 4 identified the recall by Abbott of its CentriMag Circulatory Support System as Class I, the most serious. The recall was initiated because of a calibration system error resulting from electromagnetic interference that may cause the pump to slow or stop,…

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By: Judy Mathias
November 5, 2019
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ACS NSQIP risk calculator predicts four outcomes for geriatric surgical patients

Editor's Note The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator accurately predicted four quality-of-life outcomes that transcend traditional measures of successful surgery and now reflects the expected effects of surgery on an older patient’s ability to function independently, finds this study presented October…

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By: Judy Mathias
November 5, 2019
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FDA clears Heartvista’s AI-assisted cardiac MRI tool

Editor's Note Heartvista (Los Altos, California) has obtained clearance from the Food and Drug Administration (FDA) for its artificial intelligence (AI)-assisted One Click autonomous MRI acquisition software for cardiac ischemia exams, the October 30 BioWorld MedTech reports. Integrated with existing MRI scanners, the software uses AI to guide image acquisition,…

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By: Judy Mathias
November 5, 2019
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Can machine learning predict 6-month mortality in cancer patients?

Editor's Note In this study, machine learning algorithms accurately identified cancer patients who were at risk of 6-month mortality. Of 26,525 cancer patients analyzed, machine learning models based on structured electronic health record data accurately predicted short-term mortality risk with good discrimination and positive predictive value. When the gradient boosting…

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By: Judy Mathias
October 28, 2019
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Radiologist, AI combination improves breast cancer detection

Editor's Note An artificial intelligence (AI) model was able to detect breast cancer with nearly 90% accuracy when combined with analysis from radiologists, the October 18 Health IT Analytics reports. Researchers from New York University Schools of Medicine and Data Science developed the model to first consider small patches of…

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By: Judy Mathias
October 21, 2019
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