Tag: machine learning

Study deems EHR manipulation “elephant in the room” for OR scheduling accuracy

Editor's Note Reducing surgeon manipulation of electronic health record (EHR) OR scheduling systems can improve efficiency, save resources, and enhance service to patients, according to data published in the March/April issue of the Journal of Healthcare Management. Although predictive models using EHR and machine learning improve accuracy compared to traditional…

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By: Matt Danford
April 2, 2024
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Report illuminates how AI transforms hospitals, healthcare

Editor's Note A paper published March 29 in the journal Bioengineering examines the growing integration of artificial intelligence (AI) into hospital and healthcare systems and the way in which it is augmenting clinical decision-making, optimizing hospital operation and management, improving medical image analysis, and transforming patient care and monitoring through…

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By: Brita Belli
April 2, 2024
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Machine learning shows potential to prevent costly, ineffective back surgery

JAMA (healthcare publication) Network logo

Editor's Note Although lumbar disc herniation surgery can alleviate symptoms of back pain and even prevent disability, the costs exceed the benefits for a sizeable minority of patients, researchers write in a study published February 7 in Jama Network. To address this concern, they investigated whether machine learning algorithms that…

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By: Matt Danford
February 22, 2024
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3D scans, deep-learning AI show promise for measuring body composition

Editor's Note A new method of measuring body composition using deep learning models and 3D scans is accurately depicts the distribution of fat and muscle in various body types, according to findings published January 30 Nature Communications Medicine.   Creating tying an accurate digital map of a person’s shape and body…

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By: Brita Belli
February 21, 2024
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Session: What are the legal implications of AI in healthcare?

Editor's Note How will healthcare regulators deal with artificial intelligence? How will malpractice law change, and who will be liable for harm derived from AI diagnosis and treatment recommendations? What can be done about bias in AI? Even amid a surge in algorithms cleared by the FDA, all of these…

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By: Matt Danford
February 7, 2024
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Machine learning study shows AI’s potential for predicting kidney transplant outcomes

Editor's Note: Artificial intelligence (AI) leveraging machine learning (ML) and natural language processing (NLP, a subset of machine learning) models can help identify donors with kidneys unsuitable for organ transplant, according to a study published November 1 in Jama Surgery. Despite the unmet need, many deceased-donor kidneys are discarded or…

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By: Matt Danford
January 30, 2024
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AI screening identifies patients’ risky preoperative alcohol use

Editor's Note: A recent study suggests artificial intelligence (AI) can be valuable for identifying patients who consumed risky amounts of of alcohol prior to surgery. Findings appeared in the journal Alcohol, Clinical and Experimental Research on January 8. For the study, researchers extracted 3 years of text-based clinical records from…

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By: Brita Belli
January 25, 2024
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AI tool determines postoperative mortality risk

Editor's Note A new artificial intelligence (AI) tool developed by researchers at the Smidt Heart Institute at Cedars-Sinai could help doctors better understand which patients are at greatest risk of dying following surgery, according to a December 15 report in Newswise. Based on findings originally published in the Lancet Digital…

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By: Brita Belli
December 19, 2023
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Cleveland Clinic London surgeons perform TKA assisted by augmented reality

Editor's Note The Cleveland Clinic announced, on August 16, that surgeons at its London facility successfully performed a total knee arthroplasty (TKA) with the assistance of an augmented reality-based platform designed with artificial intelligence and machine learning. Augmented reality, which gives a 3D visualization of the joint, helps with planning…

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By: Judy Mathias
August 28, 2023
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Using machine learning to predict suitability for surgery at an ASC vs HOPD

Editor's Note This study from the University of Michigan, Ann Arbor, examines the use of a machine learning (ML) model to predict the suitability for having a surgical procedure performed at an ambulatory surgery center (ASC) vs a hospital-based outpatient department (HOPD). To augment a labor intensive manual process in…

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By: Judy Mathias
August 10, 2023
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