Tag: predictive AI

Study: AI, ML improve surgical control time estimation

Editor's Note AI and machine learning (ML) models show significant promise in enhancing preoperative estimates of surgical control time (SCT), which are frequently wrong, according to a study published September 10 in Perioperative Care and Operating Room Management. The longitudinal study examined differences between predicted and actual SCTs, broken down…

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By: Matt Danford
October 14, 2024
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Algorithm enhances decision-making on intermediate-stage liver cancer surgery, treatment

Editor's Note An algorithm developed by researchers at Duke University Medical Centre is designed to assist patients diagnosed with intermediate-stage liver cancer in making decisions about surgery, according to an October 9 report in News Medical Life Sciences. Known as the Modified Metroticket, this tool predicts overall survival and recurrence-free…

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By: Matt Danford
October 10, 2024
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AI model helps predict patient decline, drive collaborative care

JAMA (healthcare publication) Network logo

Editor's Note An AI prediction model that uses near-real-time data to generate a patient risk score shows the promise of AI for helping physicians and nurses coordinate on patient care, according to findings published March 25 in JAMA Internal Medicine. Performed by researchers at Stanford Medicine, the study examined an…

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By: Brita Belli
April 24, 2024
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Artificial intelligence (AI) captures uncertainty in medical scans

Editor's Note Artificial intelligence (AI) is a useful tool for helping clinicians to determine health problems from medical imaging, but AI often provides just one answer, when there may be a number of possible interpretations. Now, researchers from MIT, the Broad Institute of MIT and Harvard, and Massachusetts General Hospital…

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By: Brita Belli
April 16, 2024
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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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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 tool can ID pediatric patients at risk of blood clots

Editor's Note An artificial intelligence (AI) tool called CLOT (Children’s Likelihood of Thrombosis) developed at Vanderbilt University Medical Center accurately identified pediatric patients at high risk for blood clots in a clinical trial. The findings were reported in JAMA Network on October 13. The researchers analyzed the electronic health records…

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By: Brita Belli
October 19, 2023
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Study evaluates the effectiveness of predictive AI in healthcare settings, identifies shortcomings

Editor's Note Implementing predictive AI models in healthcare settings can alter the baseline assumptions the models were trained on in ways that cause the models to perform worse, according to a recent simulation study published on October 6 by the Annals of Internal Medicine.  The study analyzed 130,000 critical care…

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By: Brita Belli
October 10, 2023
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