Editor's Note Artificial intelligence (AI) was able to predict which patients were likely to develop an irregular heart rhythm, even when physicians interpreted results as normal, and identified patients at increased risk of dying of any cause within 1 year, in this study presented November 16 at the American Heart…

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Editor's Note In this study, a new machine learning Complexity Score algorithm outperformed three commonly used risk scores in predicting postoperative morbidity, 30-day readmission, 90-day readmission, and postoperative surper-use. Study patients underwent colectomy, abdominal aortic aneurysm repair, coronary artery bypass grafting, total hip or knee replacement, or lung resection. The…

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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 Artificial intelligence (AI) in the form of a machine-learned algorithm correctly triaged the vast majority of postoperative patients to the ICU, in this pilot study presented October 29 at the American College of Surgeons Clinical Congress 2019 in San Francisco. The algorithm included 87 clinical variables and 15…

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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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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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