Results 101 to 110 of about 698,999 (375)
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario [PDF]
arXiv, 2022 Robot-assisted surgery has become progressively more and more popular due to its clinical advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic surgery are developing rapidly and receive lots of attention. However, current methods have not discussed the coherent integration of AI and AR in robotic surgery.
arxiv
Robotic assistant systems for surgical procedures of the anterior skull base
Current Directions in Biomedical Engineering, 2022 Abstract Robot-assisted surgery (RAS) has been widely accepted in the clinical routine around the world with a focus on urology, gynecology and general surgery. Even transoral robotic surgery (TORS) is applied on a regular basis in some specialized medical centers.
Schuler Patrick J. +4 more
openaire +2 more sources
Single port robotic assisted reconstructive urologic surgery—with the da Vinci SP surgical system
Translational Andrology and Urology, 2020 Background Single port (SP) robotic assisted laparoscopic surgery was approved by the FDA for urologic surgery and clinically available in 2018. This new robotic system enables a camera and 3 separate instruments, with fully wristed motions, to be placed
M. Billah +5 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul +11 more
wiley +1 more source
Robotic colorectal surgery: more than a fantastic toy?
Innovative Surgical Sciences, 2018 There has been a rapid rise in the number of robotic colorectal procedures worldwide since the da Vinci Surgical System robotic technology was approved for surgical procedures in the year 2000.
Toh James W.T. +2 more
doaj +1 more source
New totally intracorporeal reconstructive approach after robotic total gastrectomy. Technical details and short-term outcomes [PDF]
, 2017 AIM: To show outcomes of our series of patients that underwent a total gastrectomy with a robotic approach and highlight the technical details of a proposed solution for the reconstruction phase.
Cirocchi, Roberto +7 more
core +1 more source
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries [PDF]
arXiv, 2023 Accurate segmentation of surgical instrument tip is an important task for enabling downstream applications in robotic surgery, such as surgical skill assessment, tool-tissue interaction and deformation modeling, as well as surgical autonomy. However, this task is very challenging due to the small sizes of surgical instrument tips, and significant ...
arxiv
FEBS Open Bio, EarlyView.Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui +15 more
wiley +1 more source
Robotic-assisted modified retroauricular cervical approach: initial experience in Latin America
Revista do Colégio Brasileiro de CirurgiõesObjective: to evaluate the thickness of the gastric wall at the time of intra gastric balloon (IGB) placement, at the time of its withdrawal and one month after withdrawal. Methods: fifteen morbidly obese patients underwent the introduction of IGB under
THIAGO CELESTINO CHULAM +2 more
doaj +1 more source
Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery [PDF]
arXiv, 2021 Generating a surgical report in robot-assisted surgery, in the form of natural language expression of surgical scene understanding, can play a significant role in document entry tasks, surgical training, and post-operative analysis. Despite the state-of-the-art accuracy of the deep learning algorithm, the deployment performance often drops when applied
arxiv