AIMC Topic: Operating Rooms

Clear Filters Showing 1 to 10 of 91 articles

The AI-enhanced surgeon - integrating black-box artificial intelligence in the operating room.

International journal of surgery (London, England) Apr 1, 2025
New artificial intelligence (AI)/machine learning (ML) technology offers great potential to assist surgeons with real-time intra-operative decision-making. While, AI/ML-driven analysis tools for surgeons currently focus primarily on technical assista...
Clinical Decision-Making Surgeons Operating Rooms Artificial Intelligence Machine Learning Humans
View on PubMed DOI

Innovative Technologies for Smarter and Efficient Operating Room Scheduling.

Journal of medical systems Mar 21, 2025
An optimized scheduling system for surgical procedures is considered fundamental for maximizing hospital resource utilization and improving patient outcomes. The integration of Artificial Intelligence (AI) tools and New Technologies is paramount in t...
Appointments and Schedules Efficiency, Organizational Operating Rooms Humans Artificial Intelligence
View on PubMed DOI

Predicting Robotic Hysterectomy Incision Time: Optimizing Surgical Scheduling with Machine Learning.

JSLS : Journal of the Society of Laparoendoscopic Surgeons Jan 17, 2025
BACKGROUND AND OBJECTIVES: Operating rooms (ORs) are critical for hospital revenue and cost management, with utilization efficiency directly affecting financial outcomes. Traditional surgical scheduling often results in suboptimal OR use. We aim to b...
Robotic Surgical Procedures Hysterectomy Operating Rooms Middle Aged Operative Time Humans Machine Learning Female Adult Retrospective Studies
View on PubMed DOI

Development of Predictive Model of Surgical Case Durations Using Machine Learning Approach.

Journal of medical systems Jan 14, 2025
Optimizing operating room (OR) utilization is critical for enhancing hospital management and operational efficiency. Accurate surgical case duration predictions are essential for achieving this optimization. Our study aimed to refine the accuracy of ...
Algorithms Time Factors Efficiency, Organizational Operating Rooms Operative Time Humans Machine Learning
View on PubMed DOI

Development and validation of an artificial intelligence system for surgical case length prediction.

Surgery Nov 29, 2024
BACKGROUND: Accurate case length estimation is a vital part of optimizing operating room use; however, significant inaccuracies exist with current solutions. The purpose of this study was to develop and validate an artificial intelligence system for ...
Artificial Intelligence Machine Learning Operative Time Humans Neural Networks, Computer Operating Rooms Natural Language Processing Elective Surgical Procedures
View on PubMed DOI

Towards multimodal graph neural networks for surgical instrument anticipation.

International journal of computer assisted radiology and surgery Jul 10, 2024
PURPOSE: Decision support systems and context-aware assistance in the operating room have emerged as the key clinical applications supporting surgeons in their daily work and are generally based on single modalities. The model- and knowledge-based in...
Humans Operating Rooms Neural Networks, Computer Decision Support Systems, Clinical Machine Learning Workflow Surgery, Computer-Assisted
View on PubMed DOI

A novel approach to forecast surgery durations using machine learning techniques.

Health care management science Jul 10, 2024
This study presents a methodology for predicting the duration of surgical procedures using Machine Learning (ML). The methodology incorporates a new set of predictors emphasizing the significance of surgical team dynamics and composition, including e...
Surgical Procedures, Operative Operating Rooms Patient Care Team Male Operative Time Humans Forecasting Female Machine Learning
View on PubMed DOI

Deep Learning Analysis of Surgical Video Recordings to Assess Nontechnical Skills.

JAMA network open Jul 1, 2024
IMPORTANCE: Assessing nontechnical skills in operating rooms (ORs) is crucial for enhancing surgical performance and patient safety. However, automated and real-time evaluation of these skills remains challenging.
Cardiac Surgical Procedures Video Recording Patient Care Team Operating Rooms Middle Aged Deep Learning Clinical Competence Cross-Sectional Studies Male Humans Female
View on PubMed DOI

Video-based automatic hand hygiene detection for operating rooms using 3D convolutional neural networks.

Journal of clinical monitoring and computing Jun 19, 2024
Hand hygiene among anesthesia personnel is important to prevent hospital-acquired infections in operating rooms; however, an efficient monitoring system remains elusive. In this study, we leverage a deep learning approach based on operating room vide...
Deep Learning Hand Hygiene Video Recording Algorithms Humans Sensitivity and Specificity Anesthesiology Operating Rooms Neural Networks, Computer Cross Infection
View on PubMed DOI

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot.

Journal of robotic surgery Mar 30, 2024
Robotic surgery offers potential advantages over laparoscopic procedures, but the training for configuring robotic systems in the operating room remains underexplored. This study seeks to validate immersive virtual reality (IVR) headset training for ...
Robotic Surgical Procedures Operating Rooms Computer-Assisted Instruction Clinical Competence Virtual Reality Humans Robotics Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals