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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Editor's Note Using machine learning on electronic health record (EHR) postoperative data linked to the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) outcomes data, researchers developed a model with 163 predictors of postoperative complications at the University of Colorado Hospital. Of 6,840 patients analyzed with the…

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Editor's Note Nurses have always played an important role when new health information technology (IT) has been implemented, and the emergence of artificial intelligence (AI) and the changes it can bring to healthcare will be no exception, reports the September 27 HealthcareITNews. Though some nurses may view AI as another…

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Editor's Note Researchers from Intermountain Healthcare and Stanford University say 10 seconds is how long it takes for their new model, which uses artificial intelligence (AI), to accurately identify key findings in chest x-rays of patients in the emergency department suspected of having pneumonia. The researchers presented the findings of…

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Editor's Note A computer model, which for the first time accurately predicted two of the most challenging side effects of radiation therapy for head and neck cancer patients, was presented September 26 at the Annual Meeting of the American Society for Radiation Oncology in Chicago. Researchers from the University of…

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Editor's Note In this study, a machine learning algorithm resulted in the most accurate estimation of operative case-time duration. Researcher developed models to predict case-time duration using linear regression and supervised machine learning. Each model included an all-inclusive model, service-specific models, and surgeon-specific models. The data set used included 46,986…

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Editor's Note When deep learning algorithms were compared with health-care professionals in classifying diseases using medical imaging, diagnostic performance was equivalent between the two. In this meta-analysis of 14 studies, researchers found that deep learning systems correctly detected a disease state 87% of the time, compared with 86.4% for healthcare…

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Editor's Note Amazon has launched Amazon Care, a virtual primary care clinic, with an option for home visits from nurses, the September 24 CNBC.com reports. Employees will have an option to see a physician, nurse practitioner, or RN via a mobile app or website, and they can text a nurse…

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Editor's Note Sentara Healthcare (Norfolk, Virginia) is using a sepsis prediction tool to help alert physicians and nurses when a patient is at risk of developing the infection, the August 26 Reading Eagle reports. The tool uses artificial intelligence (AI) to run some 4,500 pieces of patient data through an…

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Editor's Note A machine learning algorithm based on data from the American College of Cardiology’s National Cardiovascular Data Registry accurately identified patients at risk for bleeding during or after coronary artery bypass grafting (CABG) surgery, the August 23 Health IT Analytics reports. Researchers developed the platform using a risk spectrum…

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