Editor's Note This study from the University of Michigan, Ann Arbor, examines the use of a machine learning (ML) model to predict the suitability for having a surgical procedure performed at an ambulatory surgery center (ASC) vs a hospital-based outpatient department (HOPD). To augment a labor intensive manual process in…

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The topic of artificial intelligence (AI) makes headlines almost daily. Eliminating any fatalistic doomsday scenarios, current literature is raising interesting points around the useability of AI and the ethical considerations regular users of AI should not ignore. In the healthcare space, the number one question seems to be, Is it…

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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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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 This Canadian meta-analysis finds that artificial intelligence (AI) has the potential to automate hip fracture diagnoses; however, complicated models may not provide benefit over traditional patient-specific postoperative outcomes predictions. Of 39 studies included in the analysis, 18 used AI models to diagnose hip fractures on plain radiographs and…

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Editor's Note In this study conducted by researchers at the University of Minnesota and by Beth Virnig, PhD, MPH, dean of the University of Florida College of Public Health and Health Professions, data shows that ransomware attacks on healthcare organizations have more than doubled from 2016 to 2021, Healthcare Purchasing…

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