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…
Algorithm enables continuous forecasting of intraoperative blood pressure
Editor's Note Researchers at the Medical University of Vienna developed a new method using the Temporal Fusion Transformer (TFT) model to predict intraoperative hypotension in patients under general anesthesia. According to findings published August 30 in eClinical Medicine, part of The Lancet, the model utilizes routine vital sign data, including…
Nurse union survey: AI patient safety threats prove need for strict guardrails
Editor's Note Artificial intelligence (AI) threatens patient safety by undermining the judgment of human nurses, according to a survey by National Nurses United (NNU). “The findings, coupled with anecdotal reports from nurses at hospitals nationwide, underscore the urgent need for stricter regulation and greater input from nurses and health care…
Testing shows promise for automated anesthesia monitoring, delivery system
Editor’s Note A new automated delivery system for anesthesia that has been effectively tested in monkeys could eventually be used by doctors to identify and deliver the right dose of drugs in people. The findings appeared October 31 in PNAS (Proceedings of the National Academy of Sciences of the United…
New protein calculation uncovers which organs are aging at an accelerated pace
Editor's Note Researchers from Stanford Medicine have found a way to detect which organs in someone’s body are aging at an accelerated rate using a simple blood test. The findings were published in the journal Nature on December 6. This study looked at 5,678 people and found that about one…
AI may improve colonoscopy accuracy
Editor's Note Researchers at Mayo Clinic Healthcare in London are investigating how artificial intelligence (AI) can be used to identify colon polyps that might otherwise get overlooked during colonoscopy. The AI system works alongside the physician in real time, scanning the colonoscopy video feed and drawing small, red boxes around…
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