Results 51 to 60 of about 377,038 (183)

A spectrophotometric method for determining residual protein levels on reusable surgical instruments: a comparison of six washing methods of instruments with an internal lumen

GMS Hygiene and Infection Control
Aim: Washing is a multistep process and a critical step in the sterilization of reusable instruments used in surgery. The complexity of the design of some types of instruments, such as those with a lumen, is a major challenge, both in terms of cleaning ...
Montmeat, Deborah, Boisseillier, Clément, Benhajkassen, Nabil, Rose, Jimmy, Pariscoat, Guillaume, Le Grand, Jennifer, Cambier, Cyril   +6 more
doaj   +1 more source

Fast 5DOF Needle Tracking in iOCT

, 2018
Purpose. Intraoperative Optical Coherence Tomography (iOCT) is an increasingly available imaging technique for ophthalmic microsurgery that provides high-resolution cross-sectional information of the surgical scene.
Eslami, Abouzar, Maier, Mathias, Nasseri, Mohammad Ali, Navab, Nassir, Rieke, Nicola, Weiss, Jakob   +5 more
core   +1 more source

NOViSE: a virtual natural orifice transluminal endoscopic surgery simulator [PDF]

, 2016
Purpose: Natural Orifice Transluminal Endoscopic Surgery (NOTES) is a novel technique in minimally invasive surgery whereby a flexible endoscope is inserted via a natural orifice to gain access to the abdominal cavity, leaving no external scars.
Barrow, A, Bello, F, Hald, N, Korzeniowski, P, Sodergren, M   +4 more
core   +2 more sources

Alternative Method for Posterior Lumbar Discectomy and Development of Associated Bench Top Test [PDF]

, 2017
A discectomy is a common surgical procedure performed to remove the fibrous disc material between adjacent vertebrae in the spine, known as vertebral disc.
Levinson, Alfred, Patel, Parth, Peddi, Rahul, Peters, Sarah, Willard, Jon   +4 more
core   +1 more source

Real-Time Surgical Instrument Segmentation Analysis Using YOLOv8 With ByteTrack for Laparoscopic Surgery

IEEE Access
As Computer Vision technology has evolved rapidly these days, the implementation of object detection and instance segmentation has been presented in various areas. In computer-aided laparoscopic surgery, the segmentation of surgical instruments is one of
Nyi Nyi Myo, Apiwat Boonkong, Kovit Khampitak, Daranee Hormdee   +3 more
doaj   +1 more source

Study and Development of a New Mechanism in an Endoscopic Surgical Instrument [PDF]

, 2009
This article provides a new surgical instrument with improved and enhanced mechanism to reliably apply the multiple titanium clips to patients’ tissue or vessel during surgical procedure.
Li, Jeremy (Zheng)
core  

The OneTogether collaborative approach to reduce the risk of surgical site infection: identifying the challenges to assuring best practice [PDF]

, 2015
Background: Surgical site infections (SSI) account for 16% of healthcare associated infections, and are associated with considerable morbidity, mortality and increased costs of care.
Gallagher, Rose, Neachell, Jonathan, Stott, Dawn, Topley, Katherine, Wilson, Jennie   +4 more
core   +1 more source

3D sound for simulation of arthroscopic surgery [PDF]

, 2010
Arthroscopic surgery offers many advantages compared to traditional surgery. Nevertheless, the required skills to practice this kind of surgery need specific training. Surgery simulators are used to train surgeon apprentices to practice specific gestures.
CORENTHY, Loïc, ESPADERO-GUILLERMO, Jose Miguel, GARBAYA, Samir, ORTEGA-GONZALEZ, Vladimir   +3 more
core   +3 more sources

Advancements in Laser-Processed Functional Surfaces for Medical Devices: A Current Review

Nanomaterials
Functional and safety requirements for medical devices are increasing with the continuous advancement of medical technology. To improve the therapeutic effect and safety of medical devices and patients, researchers are constantly exploring new materials ...
Ziyi Xu, Yanxiao Austin Wang, Vivian Ng, Hongyan Yin, Shuai Xu   +4 more
doaj   +1 more source

Annotation-efficient learning of surgical instrument activity in neurosurgery

Current Directions in Biomedical Engineering, 2022
Machine learning-based solutions rely heavily on the quality and quantity of the training data. In the medical domain, the main challenge is to acquire rich and diverse annotated datasets for training.
Philipp Markus, Alperovich Anna, Lisogorov Alexander, Gutt-Will Marielena, Mathis Andrea, Saur Stefan, Raabe Andreas, Mathis-Ullrich Franziska   +7 more
doaj   +1 more source