ORs are at the heart of healthcare organizations, where critical decisions are made, often under immense pressure. This pressure has escalated with ever-increasing demands, growing complexities, and the constant requirement for innovative solutions. In today’s rapidly evolving technological landscape, artificial intelligence (AI), machine learning (ML), and the emerging generative AI…

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Editor's Note This study from New York University and NYU Langone Health, New York City, finds discrepancies between the marketing and 510(k) clearance of artificial intelligence (AI)- or machine learning (ML)-enabled medical devices, with some devices being marketed as having capabilities not approved by the Food and Drug Administration (FDA).…

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While demand for OR services can be unpredictable, supply is largely fixed—well below the baseline for many hospitals and health systems. The ability to match supply and demand within perioperative services is critical to efficient ORs, as hospitals and health systems must operate with constrained staffing and anesthesia resources. On…

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Editor's Note This study by researchers at Beth-Israel Deaconess Medical Center, Boston, finds that generative artificial intelligence (AI)-powered Chat-GPT 4 is a promising potential adjunct to human cognition in diagnosing complex cases. Evaluating 70 complex and challenging patient cases in the New England Journal of Medicine’s clinicopathologic conferences (CPC), the…

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Editor's Note Researchers at New York University Langone Health, New York City, have developed an artificial intelligence (AI) computer program that predicts whether a newly discharged patient will be readmitted within 30 days, the June 7 HealthDay reports. The AI program, named “NYUTron,” is a large language model that works…

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Editor's Note This study led by researchers at the Mayo Clinic Arizona finds that a healthcare associated infection (HAI) risk prediction artificial intelligence (AI) model can estimate individualized risk of infection by taking into account a patient’s clinical features and features of similar patients. The model was trained on 38,327…

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Editor's Note This Japanese study finds that an automatic surgical skill assessment with artificial intelligence (AI) is more objective than a manual video review-based skill assessment, and it can reduce the time consuming and labor intensive human burden of manual review.. A total of 120 intraoperative videos of laparoscopic colorectal…

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Editor's Note In this study led by researchers at Northwell Health, New Hyde Park, New York, ChatGPT-3 and ChatGPT-4 did not pass the 2022 and 2021 American College of Gastroenterology self-assessment tests. The tests help students gauge how they would perform on the actual American Board of Internal Medicine Gastroenterology…

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Editor's Note On April 17, electronic health records (EHR) vendor Epic and Microsoft announced a partnership to train Azure OpenAI on a large collection of information so it can “asynchronously draft responses to patient messages for providers,” Becker’s Health IT May 25 reports. According to Becker's, there are four major…

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Editor's Note This Australian study compares the accuracy of monitoring personal protective equipment (PPE) donning and doffing between an artificial intelligent (AI) machine collaborating with a remote buddy support system and an onsite buddy. The researchers conducted a pilot simulation study with 30 procedural scenarios (15 donning and 15 doffing)…

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