Tag: machine learning

Study: AI improves surgical case length predictions

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…

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By: Matt Danford
December 4, 2024
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AI-powered surgical robot learns by watching

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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By: Matt Danford
November 15, 2024
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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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AAMI, CTA partners to develop healthcare AI standards

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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By: Matt Danford
October 3, 2024
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Pilot project takeoff proves promise of AI staff optimization

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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By: Stacey Leadbeater
August 28, 2024
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Supply chain stress fractures demand rock-solid continuity planning

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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By: Marisa Torrieri
May 24, 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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Report illuminates how AI transforms hospitals, healthcare

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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By: Brita Belli
April 2, 2024
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Machine learning shows potential to prevent costly, ineffective back surgery

JAMA (healthcare publication) Network logo

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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By: Matt Danford
February 22, 2024
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3D scans, deep-learning AI show promise for measuring body composition

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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By: Brita Belli
February 21, 2024
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