AIMC Topic: Operating Rooms

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[New intraoperative fluorescence-based and spectroscopic imaging techniques in visceral medicine - precision surgery in the "high tech"-operating room].

Zeitschrift fur Gastroenterologie Jun 22, 2021
INTRODUCTION: Fluorescence angiography (FA) with indocyanine green (ICG) and hyperspectral imaging (HSI) are novel intraoperative visualization techniques in abdominal, vascular and transplant surgery. With the purpose of precision surgery, and in or...
Indocyanine Green Anastomotic Leak Operating Rooms Humans Artificial Intelligence Fluorescence
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Domain adaptation and self-supervised learning for surgical margin detection.

International journal of computer assisted radiology and surgery May 6, 2021
PURPOSE: One in five women who undergo breast conserving surgery will need a second revision surgery due to remaining tumor. The iKnife is a mass spectrometry modality that produces real-time margin information based on the metabolite signatures in s...
Machine Learning Algorithms Female Humans Sensitivity and Specificity Breast Neoplasms Area Under Curve Skin Neoplasms Carcinoma, Basal Cell Reproducibility of Results Mastectomy Supervised Machine Learning Calibration Operating Rooms Mastectomy, Segmental Stochastic Processes Skin Margins of Excision Breast
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Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.

International journal of computer assisted radiology and surgery May 5, 2021
PURPOSE: Automatic workflow recognition from surgical videos is fundamental and significant for developing context-aware systems in modern operating rooms. Although many approaches have been proposed to tackle challenges in this complex task, there a...
Workflow False Positive Reactions Operating Rooms Algorithms Learning Humans Reproducibility of Results Neural Networks, Computer
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Towards markerless surgical tool and hand pose estimation.

International journal of computer assisted radiology and surgery Apr 21, 2021
PURPOSE:  : Tracking of tools and surgical activity is becoming more and more important in the context of computer assisted surgery. In this work, we present a data generation framework, dataset and baseline methods to facilitate further research in ...
Operating Rooms Orthopedics Reproducibility of Results Deep Learning Imaging, Three-Dimensional Hand Surgery, Computer-Assisted Calibration Humans Algorithms
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CycleGAN for interpretable online EMT compensation.

International journal of computer assisted radiology and surgery Mar 14, 2021
PURPOSE: Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive procedures, reducing radiation in the OR. However, in this hybrid setting, EMT is disturbed by metallic distortion caused by the X-ray device. We plan ...
Radiation Exposure Reproducibility of Results Electromagnetic Phenomena Imaging, Three-Dimensional Phantoms, Imaging Surgery, Computer-Assisted Humans Calibration Neural Networks, Computer Aorta Algorithms Operating Rooms
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A Review on the Current Applications of Artificial Intelligence in the Operating Room.

Surgical innovation Feb 24, 2021
. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in the operating room (OR). Existing literature elaborates mainly on the future possibilities and expectations for AI in surgery. The aim of this study is to systematic...
Artificial Intelligence Forecasting Operating Rooms Orthopedic Procedures
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Clearness of operating field: a surrogate for surgical skills on in vivo clinical data.

International journal of computer assisted radiology and surgery Oct 12, 2020
PURPOSE: Automatic surgical skill assessment is an emerging field beneficial to both efficiency and quality of surgical education and practice. Prior works largely evaluate skills on elementary tasks performed in the simulation laboratory, which cann...
Computer Simulation Surgeons Clinical Competence Workflow Operating Rooms Humans Neural Networks, Computer
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Intraoperative surgery room management: A deep learning perspective.

The international journal of medical robotics + computer assisted surgery : MRCAS Jun 30, 2020
PURPOSE: The current study aimed to systematically review the literature addressing the use of deep learning (DL) methods in intraoperative surgery applications, focusing on the data collection, the objectives of these tools and, more technically, th...
Operating Rooms Artificial Intelligence Deep Learning Humans
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Design and control of an image-guided robot for spine surgery in a hybrid OR.

The international journal of medical robotics + computer assisted surgery : MRCAS May 7, 2020
BACKGROUND: Minimally invasive spine (MIS) fusion surgery requires image guidance and expert manual dexterity for a successful, efficient, and accurate pedicle screw placement. Operating room (OR)-integrated robotic solution can provide precise assis...
Retrospective Studies Pedicle Screws Robotics Operating Rooms Spinal Fusion Robotic Surgical Procedures Humans Spine Surgery, Computer-Assisted
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Integrating autonomously navigating assistance systems into the clinic: guiding principles and the ANTS-OR approach.

International journal of computer assisted radiology and surgery Apr 2, 2020
PURPOSE: Autonomously self-navigating clinical assistance systems (ASCAS) seem highly promising for improving clinical workflows. There is great potential for easing staff workload and improving overall efficiency by reducing monotonous and physicall...
Workflow Planning Techniques Computer Simulation Health Services Needs and Demand Robotics Operating Rooms Humans Workload Personnel Staffing and Scheduling Algorithms Personnel Staffing and Scheduling Information Systems Task Performance and Analysis
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