Results 111 to 120 of about 369,156 (353)
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
Towards an anthropomorphic design of minimally invasive instrumentation for soft tissue robotic surgery [PDF]
, 2012 Minimally invasive procedures, such as laparoscopy, have significantly decreased blood loss, postoperative morbidity and length of hospital stay. Robot-assisted Minimally Invasive Surgery (MIS) has offered refined accuracy and more ergonomic instruments ...
Dogramadzi, Sanja +4 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Increasing evidence shows that patients with intracerebral hemorrhage (ICH) can achieve better‐than‐expected outcomes with aggressive therapy. However, real‐world long‐term data, patient‐centered outcomes, and societal measures after maximal ICH treatment are lacking.
Anne Mrochen +11 more
wiley +1 more source
Dentistry Journal, 2018 Background—The literature related to minimally invasive periodontal surgery is reviewed. This includes the original minimally invasive surgery (MIS) procedure for bone regeneration, the modification of MIS for the minimally invasive surgery ...
Stephen K. Harrel
doaj +1 more source
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy using Deep Learning [PDF]
arXiv, 2018 Adverse surgical outcomes are costly to patients and hospitals. Approaches to benchmark surgical care are often limited to gross measures across the entire procedure despite the performance of particular tasks being largely responsible for undesirable outcomes.
arxiv
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks [PDF]
, 2018 Robotic surgery has been proven to offer clear advantages during surgical procedures, however, one of the major limitations is obtaining haptic feedback. Since it is often challenging to devise a hardware solution with accurate force feedback, we propose the use of "visual cues" to infer forces from tissue deformation.
arxiv +1 more source
A comprehensive survey on recent deep learning-based methods applied to surgical data [PDF]
arXiv, 2022 Minimally invasive surgery is highly operator dependant with a lengthy procedural time causing fatigue to surgeon and risks to patients such as injury to organs, infection, bleeding, and complications of anesthesia. To mitigate such risks, real-time systems are desired to be developed that can provide intra-operative guidance to surgeons.
arxiv
A standardized comparison of peri-operative complications after minimally invasive esophagectomy: Ivor Lewis versus McKeown. [PDF]
, 2018 BACKGROUND: While our institutional approach to esophageal resection for cancer has traditionally favored a minimally invasive (MI) 3-hole, McKeown esophagectomy (MIE 3-hole) during the last five years several factors has determined a shift in our ...
Berger, Adam C. +6 more
core +1 more source
Advanced Biology, EarlyView.Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi +4 more
wiley +1 more source
Problems in Colorectal Stapler Use [PDF]
Iranian Journal of Colorectal Research, 2016 Introduction Pneumatosis intestinalis (PI) is a broad term that describes the presence of gas in the bowel walls. The colon is affected in 36% of cases.
Abbas Abdollahi +3 more
doaj +1 more source