Artificial Intelligence and Neurosurgery: A Revolution in The Field [PDF]
, 2023 Artificial Intelligence (AI) is being used in the field of neurosurgery for improving patient outcomes, reducing the risk of complications, and increasing the efficiency of surgical procedures.
Khizar, Ahtesham
core +1 more source
Outcome of cardiac surgery in patients with low preoperative ejection fraction [PDF]
, 2016 Background: In patients undergoing cardiac surgery, a reduced preoperative left ventricular ejection fraction (LVEF) is common and is associated with a worse outcome.
Belletti, Alessandro +9 more
core +3 more sources
REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM
ABCD: Arquivos Brasileiros de Cirurgia Digestiva, 2023 BACKGROUND: The advantages of laparoscopic surgery over traditional open surgery have changed the surgical education paradigm in the past 20 years. Among its benefits are an improvement in clinical outcomes and patient safety, becoming the standard in ...
Gabriel ULLOA +4 more
doaj +1 more source
Bilateral lingual lipoma: a case report
Autopsy and Case Reports, 2012 Lipoma of the tongue is an uncommon benign tumor, being even more rare when there are multiple lesions. Lipoma accounts for 1-5% of all oral neoplasms. Lipoma occurs predominantly in males over the age of forty, although, in rare cases, children can be ...
Edson Martins de Oliveira Junior +4 more
doaj +1 more source
Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level [PDF]
arXiv, 2023 Surgical robotics is a rapidly evolving field that is transforming the landscape of surgeries. Surgical robots have been shown to enhance precision, minimize invasiveness, and alleviate surgeon fatigue. One promising area of research in surgical robotics is the use of reinforcement learning to enhance the automation level.
arxiv
A procedure for implanting a spinal chamber for longitudinal in vivo imaging of the mouse spinal cord. [PDF]
, 2014 Studies in the mammalian neocortex have enabled unprecedented resolution of cortical structure, activity, and response to neurodegenerative insults by repeated, time-lapse in vivo imaging in live rodents.
Farrar, Matthew J, Schaffer, Chris B
core +2 more sources
Predictive Value of Pre-Operative 2D and 3D Transthoracic Echocardiography in Patients Undergoing Mitral Valve Repair: Long Term Follow Up of Mitral Valve Regurgitation Recurrence and Heart Chamber Remodeling [PDF]
, 2020 : The "ideal" management of asymptomatic severe mitral regurgitation (MR) in valve prolapse (MVP) is still debated. The aims of this study were to identify pre-operatory parameters predictive of residual MR and of early and long-term favorable remodeling
Ali, Sarah Ghulam +12 more
core +1 more source
International Brazilian Journal of UrologyPurpose: To evaluate the influence of prior abdominal surgery on the outcomes after robotic-assisted laparoscopic radical prostatectomy (RALP). Materials and Methods: We retrospectively analyzed patients with prostate cancer who underwent RALP between ...
Nozomu Kishimoto +7 more
doaj +1 more source
Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures [PDF]
arXiv, 2021 From a computer science viewpoint, a surgical domain model needs to be a conceptual one incorporating both behavior and data. It should therefore model actors, devices, tools, their complex interactions and data flow. To capture and model these, we take advantage of the latest computer vision methodologies for generating 3D scene graphs from camera ...
arxiv
Three-dimensional technology facilitates surgical performance of novice laparoscopy surgeons: a quantitative assessment on a porcine kidney model [PDF]
, 2015 Objective To determine whether the use of 3-dimensional (3D) imaging translates into a better surgical performance of naïve urologic laparoscopic surgeons during pyeloplasty (PY) and partial nephrectomy (PN) procedures.
Autorino, Riccardo +14 more
core +1 more source