Editor's Note In this study, researchers developed service- and surgeon-specific statistical models using linear regression and machine learning to predict case-time duration at a large academic medical center. Results showed: The machine-learning algorithm had the highest predictive capability. The surgeon-specific was superior to the service-specific model, with higher accuracies and…

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Editor's Note Preliminary experience in the automated detection and classification of fractures using artificial intelligence (AI) shows promise, and AI may enhance processing and communicating probabilistic tasks in orthopedic surgery, this study finds. For fracture detection, researchers compared the human findings in 10 studies with AI findings. In two studies,…

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Editor's Note At a precision medicine conference in Boston on June 18, Harvard Law School professor Jonathan Zittrain likened the use of artificial intelligence (AI) in healthcare to asbestos, saying: “it’s all over the place, even though at no point did you explicitly install it, and it has possibly some…

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As part of a special series on artificial intelligence (AI), OR Manager is taking a deep dive into the many facets of this new technology and its impact on patient care. Part 1 and Part 2 of the introduction to AI (May 2019 and June 2019) defined types of AI…

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Blood loss during labor and delivery (L&D) and surgical procedures can lead to serious complications that might be prevented with early detection; however, detection can be challenging. For example, clinicians have traditionally estimated blood loss visually—a subjective and often inaccurate process. Humans’ eyes simply aren’t good at making precise measurements,…

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OR leaders spend much of their day ensuring the surgery schedule runs smoothly, a task that depends on the teams within each of the ORs. Highly functioning teams produce optimal results, including good patient outcomes, satisfied surgeons, and efficient use of resources. But developing a highly functional team with good…

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Editor's Note A new report from the National Institutes of Health, Radiological Society of North America, American College of Radiology, and The Academy, provides a roadmap for translational research on artificial intelligence (AI) in medical imaging. The report summarizes key priorities: creating structured AI use cases that define and highlight…

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As part of a special series on artificial intelligence (AI), OR Manager is taking a deep dive into the many facets of this new technology and its impact on patient care. Part 1 of this introduction to the series (OR Manager, May 2019, 1, 7-11) defined several different types of…

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Perioperative services departments have been slow to adopt the black boxes used in the aviation industry, partly because it can take a large team of experts hours to analyze data collected by the box. However, the team behind a surgical black box is using artificial intelligence (AI) to significantly cut…

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Artificial intelligence (AI) may be coming to your OR sooner than you think. AI is already being used to identify areas needing quality improvement by analyzing surgical workflow, communication patterns, and errors that went unnoticed during a procedure. OR leaders need to understand AI and participate in its development and…

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