Editor's Note Kinematics-based AI similar to the technology behind ChatGPT enabled a multi-armed robot to learn new surgical techniques by watching video of human surgeons, according to a November 12 report in Healthday. “The robot is powered by the same AI that underpins ChatGPT, but instead of words and text,…

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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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Editor's Note The Association for the Advancement of Medical Instrumentation (AAMI) has entered into a partnership with the Consumer Technology Association (CTA) to develop new standards for the integration of artificial intelligence and machine learning in healthcare, according to an October 1 report in DOTmed. Formalized through a memorandum of…

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Perioperative leaders face mounting pressures to optimize resources, reduce costs, and improve patient outcomes. However, one challenge stands out among the rest: OR staffing shortages. According to a November/December survey conducted by LeanTaaS in collaboration with OR Manager, staff recruitment and retention is a top priority for OR leaders this…

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More than 4 years after personal protective equipment production and inventories crashed amid the global COVID-19 pandemic, the “new normal” in healthcare supply chains seems to be “uncertainty.” Although hospital margins are improving and patient volumes are trending upward, “stress fractures continue to remain in place,” says Michael Schiller, CMRP,…

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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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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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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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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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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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