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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Editor's Note The Joint Commission on October 29 announced that the deadline for onboarding to the Direct Data Submission (DDS) Platform for submission of CY 2019 electronic clinical quality measures (eCQMs) is December 20. Organizations that submitted CY 2018 eCQMs through the DDS Platform do not need to be onboarded…

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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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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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  Total knee arthroplasty (TKA) is a highly effective treatment for end-stage degenerative joint disease and has helped patients regain functional mobility with reduced pain and improved quality of life. Every year, almost 700,000 primary TKA procedures are performed in the US.1 This number is expected to grow to 3.48…

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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 There are gender differences in how physicians perceive EHR-related stress, satisfaction, and usability, finds this study. Of 25 ICU physicians who participated in the study, 48% were men and 52% were women. Overall task performance scores were similar, but men reported significantly higher perceived EHR workload stress and…

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