AIMC Topic: Surgical Instruments

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Analysis of influence of surgical instruments on accuracy of magnetic navigation system for craniofacial surgery robots.

Computer assisted surgery (Abingdon, England)
In craniofacial surgery, magnetic navigation systems can effectively extend the doctor's limited visual range, improve their surgical precision, shorten the operation time, and reduce the incidence of surgical complications. Owing to the ease of magn...

Vitreoretinal Surgical Instrument Tracking in Three Dimensions Using Deep Learning.

Translational vision science & technology
PURPOSE: To evaluate the potential for artificial intelligence-based video analysis to determine surgical instrument characteristics when moving in the three-dimensional vitreous space.

Cost analysis of supply chain management of Da Vinci surgical instruments: A retrospective study.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Da Vinci surgery is used extensively, but the high costs of the surgical instrument are a serious clinical and management problem.

Surgical instrument segmentation based on multi-scale and multi-level feature network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Surgical instrument segmentation is critical for the field of computer-aided surgery system. Most of deep-learning based algorithms only use either multi-scale information or multi-level information, which may lead to ambiguity of semantic informatio...

A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network.

Journal of digital imaging
Surgical instrument segmentation is an essential task in the domain of computer-assisted surgical system. It is critical to increase the context-awareness of surgeons during the operation. We propose a new model based on the U-Net architecture for su...

Convolutional neural network-based surgical instrument detection.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Minimally invasive surgery (MIS), unlike open surgery in which surgeons can perform surgery directly, is performed using miniaturized instruments with indirect but careful observation of the surgical site.

U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
With the advent of robot-assisted surgery, there has been a paradigm shift in medical technology for minimally invasive surgery. However, it is very challenging to track the position of the surgical instruments in a surgical scene, and accurate detec...

[Migration of Hem-o-Lok Clips into the Urinary Bladder Used during Robot-Assisted Laparoscopic Prostatectomy].

Hinyokika kiyo. Acta urologica Japonica
Recently, robot-assisted laparoscopic prostatectomy (RALP) has become a widely accepted surgical alternative for the treatment of prostate cancer. The intravesical migration of clips is a rare surgical complication of RALP. From March2013 to July 201...

Endoscopic robotic suturing: The way forward.

Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
Traditionally, suturing is performed in open surgery using a needle holder and forceps. The aim is to achieve accurate approximation of both edges of the wound and to tie a secure knot. With the development of laparoscopic surgery, traditional suturi...

Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks.

IEEE transactions on medical imaging
Instrument detection, pose estimation, and tracking in surgical videos are an important vision component for computer-assisted interventions. While significant advances have been made in recent years, articulation detection is still a major challenge...