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 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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Internal surgical staplers made headline news in 2019. Reports discussed the little-known US Food and Drug Administration database housing tens of thousands of stapler-related problem reports and covered the agency’s recent proposal to reclassify staplers as Class II devices, instead of the more lightly regulated Class I. ECRI Institute named…

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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 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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