Editor's Note A recent study developed and validated an artificial intelligence (AI) model leveraging natural language processing (NLP) and machine learning to significantly improve prediction accuracy for surgical case length. Published November 29 in the journal Surgery, the findings show promise for using AI as an alternative to current methods…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More