IIOT

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November 2024
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Patient safety and the “Internet of Medical Things (IoMT)”

With all of the advantages that come from electronic health records and connected devices, some distinct security risks also exist. Healthcare is seeing these risks grow in the form of ransomware, phishing attacks, and cybersecurity breaches. Healthcare has become one of the industries most vulnerable to cyberattacks, and one with…

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By: Karen Stockdale, MBA, BSN, RN
November 17, 2021
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AI examines gene-expression data to predict COVID-19 outcomes

Editor's Note In this study, researchers from the University of California, San Diego, developed an artificial intelligence (AI) algorithm to identify signature genes that forecast the severity of a viral infection immune response including that of COVID-19. The researchers analyzed more than 45,000 datasets from viral pandemics in humans, mice,…

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By: Judy Mathias
June 17, 2021
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Remote monitoring for ambulatory surgery patients reduces postop ED visits

Editor's Note This study by researchers at Memorial Sloan Kettering Cancer Center’s ambulatory surgery center, New York City, finds that remote measurement of patient-reported symptoms after surgery can improve outcomes and reduce postoperative urgent care and emergency department (ED) visits. The researchers developed an electronic platform and alert system, called…

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By: Judy Mathias
June 8, 2021
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AI tool detects COVID-19 by listening to patients’ coughs

Editor's Note Researchers from the Massachusetts Institute of Technology, Cambridge, have developed an artificial intelligence (AI) tool that can detect COVID-19 by listening to patients’ coughs, regardless if they are symptomatic or not. To build the tool, the researchers solicited audio recordings of patients coughing and accompanying information about their…

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By: Judy Mathias
November 10, 2020
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Researchers use AI to diagnose COVID-19 in chest x-rays

Editor's Note Researchers from the University of Minnesota and M Health Fairview are using artificial intelligence (AI) to detect COVID-19 in chest x-rays of hospitalized patients. The researchers used 18,000 x-rays from COVID-19 patients and 100,000 x-rays from patients without the disease to develop and train an AI program to…

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By: Judy Mathias
October 21, 2020
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AI, robots to transform hospitals' resilience to COVID-19, future disasters

Editor's Note Leandro Pecchia, PhD, associate professor of biomedical engineering at the University of Warwick, Coventry, UK, has been awarded £13 million (nearly $17 million) for the ODIN project. The project will explore the use of robots and artificial intelligence (AI) to ease pressures on hospitals during recovery from COVID-19…

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By: Judy Mathias
October 12, 2020
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NIH harnesses power of AI for COVID-19 diagnosis, treatment

Editor's Note The National Institutes of Health (NIH) on August 5 announced the launch of the Medical Imaging and Data Resource Center, which will create new tools using artificial intelligence (AI) and medical imaging to diagnose and personalize therapies for COVID-19 patients. The Center will build a large repository of…

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By: Judy Mathias
August 6, 2020
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Automated monitoring tool facilitates contact tracing of COVID-19 patients

Editor's Note The use of an automated web-based symptom monitoring tool as part of Maine's COVID-19 contact tracing program made the state's contact tracing and monitoring faster and more efficient. The tool was well received, with the majority of monitored contacts (96.4%) agreeing to the automated system. Contacts automatically received…

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By: Judy Mathias
August 4, 2020
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AI program can detect COVID-19 in 1 hour

Editor's Note The Curial AI test, an artificial intelligence (AI) program developed at the University of Oxford, UK, can identify COVID-19 within 1 hour of a patient arriving at an emergency department (ED), the July 31 Belfast Telegraph reports. The AI test analyzes patient data, such as blood tests and…

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By: Judy Mathias
August 4, 2020
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Researchers use AI to build COVID-19 predictions

Editor's Note Researchers at Binghamton University, State University of New York, are using data collected from around the world by Johns Hopkins University to build prediction models that take advantage of artificial intelligence (AI) to track COVID-19 and predict where it might surge next. The models examine trends and patterns…

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By: Judy Mathias
June 29, 2020
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