AIMC Topic: Surgical Instruments

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SegMatch: semi-supervised surgical instrument segmentation.

Scientific reports Apr 23, 2025
Surgical instrument segmentation is recognised as a key enabler in providing advanced surgical assistance and improving computer-assisted interventions. In this work, we propose SegMatch, a semi-supervised learning method to reduce the need for expen...
Algorithms Image Processing, Computer-Assisted Humans Surgery, Computer-Assisted Supervised Machine Learning Surgical Instruments Laparoscopy Robotic Surgical Procedures
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Optimizing intraoperative AI: evaluation of YOLOv8 for real-time recognition of robotic and laparoscopic instruments.

Journal of robotic surgery Mar 31, 2025
The accurate recognition of surgical instruments is essential for the advancement of intraoperative artificial intelligence (AI) systems. In this study, we assessed the YOLOv8 model's efficacy in identifying robotic and laparoscopic instruments in ro...
Artificial Intelligence Surgical Instruments Intraoperative Period Laparoscopy Robotic Surgical Procedures Humans
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Multi-axis robotic forceps with decoupled pneumatic actuation and force sensing for cochlear implantation.

Nature communications Feb 14, 2025
Delicate manual microsurgeries rely on sufficient hands-on experience for safe manipulations. Automated surgical devices can enhance the effectiveness, but developing high-resolution, multi-axis force-sensing devices for micro operations remains chal...
Humans Equipment Design Robotic Surgical Procedures Cadaver Robotics Microsurgery Temporal Bone Cochlear Implantation Surgical Instruments
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SurgiTrack: Fine-grained multi-class multi-tool tracking in surgical videos.

Medical image analysis Dec 17, 2024
Accurate tool tracking is essential for the success of computer-assisted intervention. Previous efforts often modeled tool trajectories rigidly, overlooking the dynamic nature of surgical procedures, especially tracking scenarios like out-of-body and...
Surgical Instruments Surgery, Computer-Assisted Video Recording Humans Deep Learning Image Processing, Computer-Assisted
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Developing an Effective Off-the-job Training Model and an Automated Evaluation System for Thoracoscopic Esophageal Atresia Surgery.

Journal of pediatric surgery Jul 6, 2024
BACKGROUND: Pediatric minimally invasive surgery requires advanced technical skills. Off-the-job training (OJT), especially when using disease-specific models, is an effective method of acquiring surgical skills. To achieve effective OJT, it is neces...
Thoracoscopy Clinical Competence Esophageal Atresia Humans Surgical Instruments Simulation Training Anastomosis, Surgical Deep Learning
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MSDE-Net: A Multi-Scale Dual-Encoding Network for Surgical Instrument Segmentation.

IEEE journal of biomedical and health informatics Jul 2, 2024
Minimally invasive surgery, which relies on surgical robots and microscopes, demands precise image segmentation to ensure safe and efficient procedures. Nevertheless, achieving accurate segmentation of surgical instruments remains challenging due to ...
Surgical Instruments Humans Image Processing, Computer-Assisted Minimally Invasive Surgical Procedures Neural Networks, Computer Algorithms
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Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation.

Medical image analysis Jun 22, 2024
Accurate instrument segmentation in the endoscopic vision of minimally invasive surgery is challenging due to complex instruments and environments. Deep learning techniques have shown competitive performance in recent years. However, deep learning us...
Deep Learning Image Processing, Computer-Assisted Minimally Invasive Surgical Procedures Surgical Instruments Neural Networks, Computer Humans Endoscopy
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Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter.

International journal of computer assisted radiology and surgery May 8, 2024
PURPOSE: In surgical image segmentation, a major challenge is the extensive time and resources required to gather large-scale annotated datasets. Given the scarcity of annotated data in this field, our work aims to develop a model that achieves compe...
Neural Networks, Computer Humans Surgical Instruments Image Processing, Computer-Assisted Surgery, Computer-Assisted
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Surgical phase and instrument recognition: how to identify appropriate dataset splits.

International journal of computer assisted radiology and surgery Jan 29, 2024
PURPOSE: Machine learning approaches can only be reliably evaluated if training, validation, and test data splits are representative and not affected by the absence of classes. Surgical workflow and instrument recognition are two tasks that are compl...
Machine Learning Workflow Humans Surgical Instruments
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Effects of a force feedback function in a surgical robot on the suturing procedure.

Surgical endoscopy Dec 13, 2023
BACKGROUND: Currently, widely used robotic surgical systems do not provide force feedback. This study aimed to evaluate the impact and benefits of a force feedback function on the suturing procedure.
Surgical Instruments Robotics Neurosurgical Procedures Surgeons Robotic Surgical Procedures Humans Suture Techniques Clinical Competence Feedback
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