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…
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…
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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