AIMC Topic: Operating Rooms

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Mobile service robots for the operating room wing: balancing cost and performance by optimizing robotic fleet size and composition.

International journal of computer assisted radiology and surgery
PURPOSE: Integrating fleets of mobile service robots into the operating room wing (OR wing) has the potential to help overcome staff shortages and reduce the amount of dull or unhealthy tasks for humans. However, the OR wing has been little studied i...

[Modern OR management in tertiary care hospitals].

Unfallchirurgie (Heidelberg, Germany)
Institutional operating room (OR) management is an established and indispensable component of organizational structures in most hospitals, independent of the level of care. In this role, OR management needs to consider both the high fixed costs of op...

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room.

Medical image analysis
The fine-grained localization of clinicians in the operating room (OR) is a key component to design the new generation of OR support systems. Computer vision models for person pixel-based segmentation and body-keypoints detection are needed to better...

Streamlining surgical trays for common pediatric urology Procedures: A quality improvement initiative.

Journal of pediatric urology
INTRODUCTION: Procedures involving the external genitalia are the most common pediatric urologic operations. Our group identified excess instrumentation for these cases to be a potential cause of operating room (OR) inefficiency at our large, freesta...

Analysis of Operating Room Efficiency During Robot-Assisted Urologic Surgeries Utilizing Fixed (Nonprocedural) Operative Times.

Journal of endourology
To analyze operating room (OR) efficiency by evaluating fixed OR times for three common urologic robot-assisted procedures. Over a 24-month period, we prospectively collected intraoperative data for 635 consecutive robot-assisted surgeries. Fixed (...

Self-supervised learning via cluster distance prediction for operating room context awareness.

International journal of computer assisted radiology and surgery
PURPOSE: Semantic segmentation and activity classification are key components to create intelligent surgical systems able to understand and assist clinical workflow. In the operating room, semantic segmentation is at the core of creating robots aware...

Operating Room Planning for Emergency Surgery: Optimization in Multiobjective Modeling and Management from the Latest Developments in Computational Intelligence Techniques.

Computational intelligence and neuroscience
This study presents an optimization approach for scheduling the operation room for emergency surgeries, considering the priority of surgeries. This optimization model aims to minimize the costs associated with elective and emergency surgeries and max...

Continuous real-time prediction of surgical case duration using a modular artificial neural network.

British journal of anaesthesia
BACKGROUND: Real-time prediction of surgical duration can inform perioperative decisions and reduce surgical costs. We developed a machine learning approach that continuously incorporates preoperative and intraoperative information for forecasting su...

[Technical innovations and future perspectives].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
BACKGROUND: Digital systems have increasingly become integrated into the modern operating room in the last few decades. This has brought about a massive change, especially in minimally invasive surgery.

Application of Deep Neural Network Factor Analysis Model in Operating Room Management Nursing Analysis of Postoperative Infection Nursing after Thoracic Surgery.

Computational and mathematical methods in medicine
Thoracic surgery is the main surgical method for the treatment of respiratory diseases and lung diseases, but infections caused by improper care are prone to occur during the operation, which can induce pulmonary edema and lung injury and affect the ...