AIMC Topic: Operating Rooms

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Predicting early return to the operating room in early-onset scoliosis patients using machine learning techniques.

Spine deformity Mar 26, 2024
PURPOSE: Surgical treatment of early-onset scoliosis (EOS) is associated with high rates of complications, often requiring unplanned return to the operating room (UPROR). The aim of this study was to create and validate a machine learning model to pr...
Humans Reoperation Operating Rooms Age of Onset Scoliosis Postoperative Complications Child, Preschool Child Spinal Fusion Machine Learning Retrospective Studies Female Male
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[The digital operating room : Chances and risks of artificial intelligence].

Chirurgie (Heidelberg, Germany) Mar 5, 2024
At the central workplace of the surgeon the digitalization of the operating room has particular consequences for the surgical work. Starting with intraoperative cross-sectional imaging and sonography, through functional imaging, minimally invasive an...
Robotic Surgical Procedures Surgery, Computer-Assisted Operating Rooms Humans Artificial Intelligence
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Biochemical implications of robotic surgery: a new frontier in the operating room.

Journal of robotic surgery Feb 24, 2024
Robotic surgery represents a milestone in surgical procedures, offering advantages such as less invasive methods, elimination of tremors, scaled motion, and 3D visualization. This in-depth analysis explores the complex biochemical effects of robotic ...
Robotic Surgical Procedures Operating Rooms Robotics Laparoscopy Humans Artificial Intelligence Risk Factors
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Artificial Intelligence in Operating Room Management.

Journal of medical systems Feb 14, 2024
This systematic review examines the recent use of artificial intelligence, particularly machine learning, in the management of operating rooms. A total of 22 selected studies from February 2019 to September 2023 are analyzed. The review emphasizes th...
Efficiency, Organizational Operating Rooms Humans Machine Learning
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Pragmatic Evaluation of a Deep-Learning Algorithm to Automate Ejection Fraction on Hand-Held, Point-of-Care Echocardiography in a Cardiac Surgical Operating Room.

Journal of cardiothoracic and vascular anesthesia Jan 11, 2024
OBJECTIVE: To test the correlation of ejection fraction (EF) estimated by a deep-learning-based, automated algorithm (Auto EF) versus an EF estimated by Simpson's method.
Operating Rooms Echocardiography Deep Learning Stroke Volume Point-of-Care Systems Humans Reproducibility of Results Ventricular Function, Left Algorithms
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Increase in robot assisted operating room efficiency: A quality improvement study.

Journal of pediatric urology Nov 25, 2023
INTRODUCTION: Pyeloplasties are time-sensitive, and the most common robot assisted intervention performed in pediatric urology. Early intervention is intended to avoid permanent loss of renal function with negative long-term effects if surgery is del...
Operating Rooms Humans Ureter Robotic Surgical Procedures Quality Improvement Plastic Surgery Procedures Child Laparoscopy Robotics
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Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition.

IEEE journal of biomedical and health informatics Nov 7, 2023
OBJECTIVE: In the last two decades, there has been a growing interest in exploring surgical procedures with statistical models to analyze operations at different semantic levels. This information is necessary for developing context-aware intelligent ...
Deep Learning Operating Rooms Workflow Humans
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Do we need a co-pilot in the operating theatre? A cross-sectional study on surgeons' perceptions.

Scottish medical journal Oct 18, 2023
OBJECTIVE: The aim of this original study was to investigate general surgeons' perceptions on the role of dual surgeon operating for high-risk, elective complex surgical procedures.
Operating Rooms Humans Pilots Cross-Sectional Studies Surgeons Elective Surgical Procedures
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Design of a Miniature Observation Robot for Light Emitting Diode Irradiation and Indocyanine Green Fluorescence-emission Guided Lymph Node Monitoring in Operating Rooms.

Surgical innovation Oct 12, 2023
MOTIVATION: Typical surgical microscopes used for fluorescence-based lymph node detection experience limitations such as weight and restricted adjustability of the integrated light emitting diode (LED) and camera. This restricts the capture of detail...
Sentinel Lymph Node Biopsy Lymph Nodes Indocyanine Green Robotics Operating Rooms
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Impaired robotic surgical visualization: archaic issues in a modern operating room.

Journal of robotic surgery Oct 7, 2023
While robotic-assisted surgery (RAS) has been revolutionizing surgical procedures, it has various areas needing improvement, specifically in the visualization sector. Suboptimal vision due to lens occlusions has been a topic of concern in laparoscopi...
Operating Rooms Humans Robotics Laparoscopy Robotic Surgical Procedures
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