444 research outputs found
Clinical applications of Telerobotic ENT-Head and Neck surgery
No full textAbstractObjectiveTo review the published clinical data in Telerobotic ENT-Head and Neck surgery, evaluate the benefit of existing clinical applications and identify areas for potential development.MethodsA qualitative review was performed of publications in PubMed, Medline and the Cochrane Database identified from the following keyword searches: Telerobotic/Robotic ENT, Otorhinolaryngology, Head and Neck surgery, Thyroid and Parathyroid surgery. Preclinical studies and non-clinical review articles were excluded.ResultsForty-five publications were identified including 7 review articles. Transoral robotic surgery (TORS) was reported in 20 clinical studies, robotic-assisted thyroidectomy in 13 studies, parathyroidectomy in 4 studies and skull base surgery in 1 study. The majority of TORS publications relate to oropharyngeal malignancy which were Stage III and IV. Clinical benefits include avoidance or dose reduction of adjuvant chemoradiotherapy and improved swallow function. The primary clinical advantage of robotic-assisted neck surgery is the avoidance of a neck scar. The learning curve for robotic thyroidectomy is 50 cases. Body habitus is an important factor for assessment of robotic feasibility in transoral and neck surgery.ConclusionThe application of robotic-assisted parathyroidectomy, thyroidectomy and TORS suggests promising improvements in patient care. Randomised control trials are needed to assess clinical outcome, cost effectiveness and patient benefit in the existing applications. Continued development of robotic technology will expand the viable clinical applications in this specialty
Ideas for rent: an overview of markets for technology
No full textThis article surveys some of the recent literature on technology markets, and summarizes its main issues and insights. We structure our analysis in three parts: the supply and demand of technology; the factors that condition the formation and growth of technology markets; industry structure and dynamic issues. In addition, we summarize some of the studies that have tried to document the size and growth of these markets. We find that the literature has focused mainly on the supply of technology, but several other aspects of these markets remain under-studied, including the demand for external technology, the role of uncertainty in technology markets, and the dynamic interaction between industry structure and the market for technology. Understanding these will illuminate whether markets for technology will continue to grow or remained confined to pockets of the economy. Copyright 2010 The Author 2010. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved., Oxford University Press.
Metrics for analytics and visualization of big data with applications to activity recognition
No full textActivity recognition systems detect the hidden actions of an agent from sensor measurements made on the agents' actions and the environmental conditions. For such systems, metrics are important for both performance evaluation and visualization purposes. In this thesis, such metrics are developed and illustrated. For human activity recognition datasets, a reporting structure is described to visualize the metrics in a systematic manner. The other contribution of this thesis is to describe a visualization tool for estimating the orientation (attitude) of a rigid body from streaming motion sensor (accelerometer and gyroscope) data. A feedback particle filter (FPF) is implemented algorithmically to solve the estimation problem.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01The student, Rohan Arora, accepted the attached license on 2016-04-25 at 10:47.The student, Rohan Arora, submitted this Thesis for approval on 2016-04-25 at 10:48.This Thesis was approved for publication on 2016-04-27 at 15:05.DSpace SAF Submission Ingestion Package generated from Vireo submission #9459 on 2016-07-07 at 14:17:57Made available in DSpace on 2016-07-07T21:18:02Z (GMT). No. of bitstreams: 2
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Previous issue date: 2016-04-27Embargo set by: Seth Robbins for item 93308
Lift date: 2018-07-07T21:18:16Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 93308 on 2018-07-08T09:15:30Z
An evaluation of emerging technologies in ENT - virtual reality simulation & robotic surgery
No full textVirtual reality (VR) simulation and robotic surgery represent two focus areas for research and development in Otolaryngology-Head & Neck Surgery. This thesis was driven by a desire to deliver improvements in surgical training and patient care. The development and long-term prospective clinical evaluation of three novel robotic applications in Head & Neck surgery were investigated. The results suggest that robotic assisted thyroidectomy and robotic assisted parathyroidectomy are safe, feasible alternatives to conventional surgery. The primary advantage is the avoidance of a neck scar. The approach occupies a niche role that is justified in patients who have cultural or biological drivers to avoid a neck scar. Improvement in surgical exposure was necessary. A novel soft-tissue retractor was designed and manufactured to address this issue. Transoral robotic surgery represents a promising treatment option for patients with obstructive sleep apnoea who cannot tolerate or fail all the other treatment modalities. Biometric measures represent an important tool when assessing patient suitability for TORS. Only those who have undergone appropriate training, proctoring and licensure should perform robotic surgery. Safe implementation is essential. The studies of VR temporal bone simulation served as a preparatory to introducing VR simulation for robotic head and neck surgery. The face, content and construct validation of a novel temporal bone simulator was demonstrated. Further studies were conducted to benchmark and pilot a VR skills curriculum and assess the role of case specific surgical rehearsal. Simulation training represented a useful adjunct. This body work demonstrates that both technologies can be integrated to deliver effective robotic surgical training to enhance surgical performance and improve patient care.Open Acces
First generation Asian immigrants and mental health treatment
No full textAny first generation immigrant has a hard time assimilating to life in a new country, and this holds true for the Asian population and their mental health (Arora et al., 2020). This project focused on what impacts mental health of first generation Asian immigrants.Research presentationFaculty Mentor: Dr. Kathy Andrese
Robotic head and neck surgery: history, technical evolution and the future
No full textThe first application of robotic technology in surgery was described in 1985 when a robot was used to define the trajectory for a stereotactic brain biopsy. Following its successful application in a variety of surgical operations, the da Vinci® robot, the most widely used surgical robot at present, made its clinical debut in otorhinolaryngology and head and neck surgery in 2005 when the first transoral robotic surgery (TORS) resections of base of tongue neoplasms were reported. Subsequently, the indications for TORS rapidly expanded, and they now include tumours of the oropharynx, hypopharynx, parapharyngeal space, and supraglottic larynx, as well as obstructive sleep apnoea (OSA). The da Vinci® robot has also been successfully used for scarless-in-the-neck thyroidectomy and parathyroidectomy. At present, the main barrier to the wider uptake of robotic surgery is the prohibitive cost of the da Vinci® robotic system. Several novel, flexible surgical robots are currently being developed that are likely to not only enhance patient safety and expand current indications but also drive down costs, thus making this innovation more widely available. Future directions relate to overlay technology through augmented reality/AR that allows real-time image-guidance, miniaturisation (nanorobots), and the development of autonomous robots
Towards automated classification of fine-art painting style: a comparative study
No full textThis thesis presents a comparative study of different classification methodologies for the task of fine-art genre classification. The problem of painting classification involves classifying new unknown paintings among different art genres. Two-level comparative study is performed for this classification problem. The first level reviews the performance of discriminative vs. generative models while the second level touches the features aspect of the paintings and compares Semantic-level features vs low-level and intermediate-level features present in the painting. Three models are studied and compared, namely - 1) A Discriminative model using a Bag-of-Words (BoW) approach; 2) A Generative model using BoW; 3) Discriminative model using Semantic-level features. Various experiments and techniques like Bag of Words model, Topic models and Classeme features are employed to get insights into potential of these automatic classification techniques for painting styles.M.S.Includes bibliographical referencesby Ravneet Singh Aror
Micro-power Pulsed-Doppler Radar Clutter and Displacement Source Classification Dataset
No full textThis is the official dataset for the ACM BuildSys 2019 publication One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.
The training code for MSC-RNN can be found at https://github.com/dhruboroy29/MSCRNN
Kindly cite this work as:
@article{roy2019one,
title={One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification},
author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish},
journal={arXiv preprint arXiv:1909.03082},
year={2019}
}
</pre
Correction to: Visual acuity correlates with multimodal imaging-based categories of central serous chorioretinopathy (Eye, (2021), 10.1038/s41433-021-01788-4)
No full textIn this article the author name Ramesh Venkatesh was incorrectly written as Ramesh Vankatesh. The original article has been corrected
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