Real-time Surgical Tools Recognition in Total Knee Arthroplasty Using Deep Neural Networks [PDF]
arXiv, 2018 Total knee arthroplasty (TKA) is a commonly performed surgical procedure to mitigate knee pain and improve functions for people with knee arthritis. The procedure is complicated due to the different surgical tools used in the stages of surgery. The recognition of surgical tools in real-time can be a solution to simplify surgical procedures for the ...
arxiv
Quantification of Robotic Surgeries with Vision-Based Deep Learning [PDF]
arXiv, 2022 Surgery is a high-stakes domain where surgeons must navigate critical anatomical structures and actively avoid potential complications while achieving the main task at hand. Such surgical activity has been shown to affect long-term patient outcomes.
arxiv
Factors influencing the surgical process during shoulder joint replacement:Time-action analysis of five different prostheses and three different approaches [PDF]
, 2005 Background: To evaluate the per-operative process of shoulder joint replacement, time-action analysis can be used.Material/Methods: Forty procedures performed by 7 surgeons with different experience rising 5 different prostheses and 3 different Surgical ...
Dankelman, J +6 more
core
Surgical Management of Ischemic Priapism: what are the New Options? [PDF]
International Brazilian Journal of UrologyIschemic priapism is a true urologic emergency. Prompt intervention is required to alleviate the compartment syndrome and restore perfusion to the corporal bodies; failure to do so results in irreversible damage, fibrosis, and profound erectile ...
Rohit Badia +4 more
doaj +1 more source
DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal [PDF]
, 2017 International audienceAdvances in surgical simulation and surgical augmented reality have changed the way surgeons prepare for practice and conduct medical procedures.
A Nealen +9 more
core +2 more sources
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks [PDF]
, 2019 Purpose: Manual feedback from senior surgeons observing less experienced trainees is a laborious task that is very expensive, time-consuming and prone to subjectivity. With the number of surgical procedures increasing annually, there is an unprecedented need to provide an accurate, objective and automatic evaluation of trainees' surgical skills in ...
arxiv +1 more source
Learning curve in the extraction of impacted lower third molars: a prospective cohort study [PDF]
Introduction: Third molar removal is one of the most common surgical procedures in dentistry. Therefore, it is important to evaluate the learning curve of dentists undergoing surgical training.
Arias-Huerta, Xavier +6 more
core +1 more source
Journal of the Pakistan Medical AssociationObjective: To compare outcomes of minimally invasive gynaecological surgeries with open gynaecological surgical techniques in a low-resource setting.
Ammara Iqbal Muhammad +4 more
doaj +1 more source
The Surgical Release of Dupuytren's Contracture Using Multiple Transverse Incisions [PDF]
Archives of Plastic Surgery, 2012 Dupuytren's contracture is a condition commonly encountered by hand surgeons, although it is rare in the Asian population. Various surgical procedures for Dupuytren's contracture have been reported, and the outcomes vary according to the treatment ...
Hyunjic Lee +3 more
doaj
Analyzing Before Solving: Which Parameters Influence Low-Level Surgical Activity Recognition [PDF]
arXiv, 2017 Automatic low-level surgical activity recognition is today well-known technical bottleneck for smart and situation-aware assistance for the operating room of the future. Our study sought to discover which sensors and signals could facilitate this recognition. Low-level surgical activity represents semantic information about a surgical procedure that is
arxiv