IIOT
Interactive surgical playbook expands OR team synergy
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…
NIH, radiology societies map path for AI research in medical imaging
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…
How will artificial intelligence impact surgical patient care? Part 2
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…
Artificial intelligence makes surgical 'black box' smarter
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…
How will artificial intelligence impact surgical patient care? Part 1
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…
Editorial
Artificial intelligence (AI) seems to pop up in headlines nearly every day. With applications ranging from individual nutritional guidance to prediction of premature death, ever-evolving computer-based algorithms present intriguing possibilities for the future of healthcare. Depending on how proactive your facility is and how rich in resources, you may already…
AI detects prostate cancer as well as experienced radiologists
Editor's Note A new artificial intelligence (AI) system developed by researchers at the UCLA David Geffen School of Medicine improved the ability to diagnose prostate cancer in this study. The system, called “FocalNet,” helps identify and predict the aggressiveness of the disease by evaluating MRI scans. Results showed that FocalNet…
Using machine learning for preop prediction of postop mortality, ICU admission
Editor's Note Machine learning can be used to improve surgical risk prediction compared to traditional risk calculators, this study from Singapore finds. The traditional Combined Assessment of Risk Encountered in Surgery and the American Society of Anesthesiologists Physical Status models were compared with machine learning models in the prediction of…
FDA issues statement on review framework for AI-based devices
Editor's Note The Food & Drug Administration (FDA) on April 2 issued a statement announcing steps toward a new, tailored review framework for artificial intelligence (AI)-based medical devices. AI and machine learning have the potential to transform the delivery of healthcare, with earlier disease detection, more accurate diagnoses, more targeted…
FDA issues Safety Communication on cybersecurity vulnerabilities in Medtronic cardiac devices
Editor's Note The Food & Drug Administration on March 21 issued a Safety Communication on cybersecurity vulnerabilities identified in wireless telemetry technology used for communication between Medtronic’s implantable cardiac devices, clinic programmers, and home monitors. Medtronic (Dublin, Ireland) is working on updates to address the vulnerabilities and recommends that healthcare…
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