Results 61 to 70 of about 571,694 (227)
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
Journal of endourology, 2020 Introduction and Objectives Budgetary constraints and novel minimally invasive surgical approaches have resulted in surgical care being increasingly provided at ambulatory centers rather than traditional inpatient settings.
D. Nguyen +6 more
semanticscholar +1 more source
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks [PDF]
arXiv, 2023 This paper explores how graph neural networks (GNNs) can be used to enhance visual scene understanding and surgical skill assessment. By using GNNs to analyze the complex visual data of surgical procedures represented as graph structures, relevant features can be extracted and surgical skill can be predicted.
arxiv
Dynamic Scene Graph Representation for Surgical Video [PDF]
arXiv, 2023 Surgical videos captured from microscopic or endoscopic imaging devices are rich but complex sources of information, depicting different tools and anatomical structures utilized during an extended amount of time. Despite containing crucial workflow information and being commonly recorded in many procedures, usage of surgical videos for automated ...
arxiv
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots [PDF]
arXiv, 2023 Recent advances in robot-assisted surgery have resulted in progressively more precise, efficient, and minimally invasive procedures, sparking a new era of robotic surgical intervention. This enables doctors, in collaborative interaction with robots, to perform traditional or minimally invasive surgeries with improved outcomes through smaller incisions.
arxiv
Patient education in an ambulatory surgical center setting.
Journal of Spine Surgery, 2019 Advancements in surgical technology over the past decade have resulted in the ability to perform complex surgical procedures on the spine with decreased morbidity and advanced recovery.
Philip J York, C. Gang, S. Qureshi
semanticscholar +1 more source
Revista do Colégio Brasileiro de CirurgiõesA formação profissional do médico demanda a aquisição de conhecimentos, habilidades e atitudes para o bom exercício da prática profissional. O treinamento de técnicas cirúrgicas básicas, usadas na cirurgia ambulatorial, irá prepará-lo para atuar em ...
Kátia Sheylla Malta Purim
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
Anesthesia for ambulatory surgery [PDF]
Korean Journal of Anesthesiology, 2017 Ambulatory anesthesia allows quick recovery from anesthesia, leading to an early discharge and rapid resumption of daily activities, which can be of great benefit to patients, healthcare providers, third-party payers, and hospitals.
Jeong Han Lee
doaj +1 more source
TOTAL LYMPHOCYTE COUNT AND SERUM ALBUMIN AS PREDICTORS OF NUTRITIONAL RISK IN SURGICAL PATIENTS
ABCD: Arquivos Brasileiros de Cirurgia Digestiva, 2015 Background: Early detection of changes in nutritional status is important for a better approach to the surgical patient. There are several nutritional measures in clinical practice, but there is not a complete method for determining the nutritional ...
Naruna Pereira ROCHA +1 more
doaj +2 more sources