AIMC Topic: Surgical Instruments

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FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation.

Medical image analysis Jan 20, 2023
Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many computer-assistance applications for minimally invasive surgery. So far, state-of-the-art approaches completely rely on the availability of a ground-t...
Humans Robotics Surgical Instruments Endoscopy Image Processing, Computer-Assisted
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Interactive 3D Force/Torque Parameter Acquisition and Correlation Identification during Primary Trocar Insertion in Laparoscopic Abdominal Surgery: 5 Cases.

Sensors (Basel, Switzerland) Nov 19, 2022
Laparoscopic procedures have become indispensable in gastrointestinal surgery. As a minimally invasive process, it begins with primary trocar insertion. However, this step poses the threat of injuries to the gastrointestinal tract and blood vessels. ...
Surgical Instruments Laparoscopy Torque Humans Abdomen Robotics
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Technical insights to multivisceral resections using the da Vinci Xi.

ANZ journal of surgery Sep 21, 2022
BACKGROUND: There have been few reports on the feasibility and safety of robotic multivisceral surgeries. The da Vinci Xi boasts significant upgrades that improve its applicability in combined resections. We report our early experience of multiviscer...
Retrospective Studies Treatment Outcome Humans Surgical Instruments Laparoscopy Robotic Surgical Procedures Robotics
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Anticipation for surgical workflow through instrument interaction and recognized Signals.

Medical image analysis Sep 6, 2022
Surgical workflow anticipation is an essential task for computer-assisted intervention (CAI) systems. It aims at predicting the future surgical phase and instrument occurrence, providing support for intra-operative decision-support system. Recent stu...
Workflow Artifacts Image Processing, Computer-Assisted Surgical Instruments Humans Neural Networks, Computer
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Development and validation of a deep-learning based assistance system for enhancing laparoscopic control level.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 12, 2022
BACKGROUND AND AIMS: Inter-operator variations in the level of intraoperative laparoscope control by surgeons influence surgical outcomes. We aimed to construct a laparoscopic surgery quantification system (LSQS) for real-time evaluation of the surge...
Surgical Instruments Laparoscopes Laparoscopy Robotic Surgical Procedures Deep Learning Humans
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Limited generalizability of single deep neural network for surgical instrument segmentation in different surgical environments.

Scientific reports Jul 22, 2022
Clarifying the generalizability of deep-learning-based surgical-instrument segmentation networks in diverse surgical environments is important in recognizing the challenges of overfitting in surgical-device development. This study comprehensively eva...
Artificial Intelligence Neural Networks, Computer Laparoscopy Surgical Instruments
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Precision forceps tracking and localisation using a Kalman filter for continuous curvilinear capsulorhexis.

The international journal of medical robotics + computer assisted surgery : MRCAS Jun 29, 2022
BACKGROUND: Continuous curvilinear capsulorhexis (CCC) requires surgeons to manipulate fragile eye tissue at the microscale. The limited perceptual accuracy of surgeons makes it difficult to precisely position the forceps. Robot technology provides a...
Humans Robotics Phantoms, Imaging Capsulorhexis Surgical Instruments
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Streamlining surgical trays for common pediatric urology Procedures: A quality improvement initiative.

Journal of pediatric urology Jun 27, 2022
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...
Cost Savings Quality Improvement Male Humans Urology Child Operating Rooms Surgical Instruments
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A parallel network utilizing local features and global representations for segmentation of surgical instruments.

International journal of computer assisted radiology and surgery Jun 10, 2022
PURPOSE: Automatic image segmentation of surgical instruments is a fundamental task in robot-assisted minimally invasive surgery, which greatly improves the context awareness of surgeons during the operation. A novel method based on Mask R-CNN is pro...
Surgical Instruments Image Processing, Computer-Assisted Automation Humans Neural Networks, Computer Endoscopy
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Commentary: Validation of Machine Learning-Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video.

Operative neurosurgery (Hagerstown, Md.) Jun 8, 2022
Humans Machine Learning Algorithms Surgical Instruments
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