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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Editor's Note In this study of more than 1 million Medicare patients, 4.8% were super-users of healthcare and incurred 31.7% of Medicare expenditures after surgery. A machine learning approach identified the following as the most significant risk factors linked to super-utilization of healthcare in the year following surgery: hemiplegia/paraplegia weight…

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Editor's Note The University of Michigan’s health system has 34 artificial intelligence (AI) and machine learning research projects underway, 28 of which have principal investigators, the August 12 Health Data Management reports. Projects include analyzing electronic health records (EHRs), ECG monitor data, and analytics to predict acute hemodynamic instability and…

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Editor's Note Health insurer Aetna has created an artificial intelligence (AI) software to settle insurance claims−a development that could lead to automation of other processes and free up staff to focus on higher-level tasks, the July 25 CIO reports. Aetna estimates the software, which is able to resolve claims overnight…

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As part of a special series on artificial intelligence (AI), OR Manager is taking a deep dive into the many facets of this new technology and its impact on patient care. In this issue we continue our examination of the challenges related to AI, which began in last month’s issue…

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This article concludes OR Manager’s special series on artificial intelligence (AI). Parts 1 and 2 (May 2019 and June 2019) introduced AI, defining the different types of technology and describing its many current and potential applications for surgery. The series also presented examples of AI (June and July 2019). We…

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