scholarly journals Collaborative Virtual Surgery: Techniques, Applications and Challenges

2010 ◽  
Vol 9 (3) ◽  
pp. 1-7 ◽  
Author(s):  
Jing Qin ◽  
Kup-Sze Choi ◽  
Wai-Man Pang ◽  
Zhang Yi ◽  
Pheng-Ann Heng
Keyword(s):  
Medical Education ◽  
Network Architecture ◽  
Schedule Algorithm ◽  
User Interaction ◽  
Virtual Surgery ◽  
Transmission Protocol ◽  
Distributed Environments ◽  
Considerable Effort ◽  
Surgical Simulators ◽  
Haptic Communication

While considerable effort has been dedicated to improve medical education with virtual reality based surgical simulators, relatively little attention is given to the simulation of the collaborative procedures in distributed environments. In this paper, we first present a literature review of techniques involved in the development of collaborative simulators, including network architecture, transmission protocol, collaboration mechanism, schedule algorithm, collaborative user-interaction feature and haptic communication. We introduce the details of each technique and discuss the advantages and drawbacks. Then, we review some of the existing applications to illustrate how to apply these techniques to implement an efficient and robust collaborative simulator. Finally, we discuss the challenges that need to be addressed in the future.

The Vineyard Approach

2010 ◽  
pp. 60-79
Author(s):  
Adriana S. Vivacqua ◽  
Jano Moreira de Souza
Keyword(s):  
Interaction Analysis ◽  
User Interaction ◽  
Distributed Environments ◽  
Awareness Information ◽  
E Mail

Recent research has noted that individuals engage in multiple collaborations simultaneously and have difficulties managing these different contexts. Studies indicate that awareness of others’ activities plays an important part in collaboration. Proximity also has a strong effect on collaboration, as maintaining awareness of peers becomes harder in distributed environments. Many awareness systems have been proposed to deliver information on peers’ activities or status, which usually either require extensive configuration by the user or disseminate information regardless of users’ interests. With the increase in information available, systems must be sensitive to users’ attention foci, minimizing interruptions, and helping focus and providing information according to current tasks. We have been investigating ways to determine awareness foci through e-mail-based user interaction analysis. Our goal is to be able to draw inferences as to whom and about what a user is collaborating, enabling a system to automatically distribute awareness information and adapt itself according to users’ needs without much configuration.

A framework using cluster-based hybrid network architecture for collaborative virtual surgery

2009 ◽  
Vol 96 (3) ◽  
pp. 205-216 ◽  
Author(s):  
Jing Qin ◽  
Kup-Sze Choi ◽  
Wai-Sang Poon ◽  
Pheng-Ann Heng
Keyword(s):  
Network Architecture ◽  
Hybrid Network ◽  
Virtual Surgery

Enabling multi-user interaction in large high-resolution distributed environments

2011 ◽  
Vol 27 (7) ◽  
pp. 914-923 ◽  
Author(s):  
Ratko Jagodic ◽  
Luc Renambot ◽  
Andrew Johnson ◽  
Jason Leigh ◽  
Sachin Deshpande
Keyword(s):  
High Resolution ◽  
User Interaction ◽  
Distributed Environments

scholarly journals Continuing medical education during a pandemic: an academic institution’s experience

2020 ◽  
Vol 96 (1137) ◽  
pp. 384-386 ◽  
Author(s):  
Abhiram Kanneganti ◽  
Ching-Hui Sia ◽  
Balakrishnan Ashokka ◽  
Shirley Beng Suat Ooi
Keyword(s):  
Medical Education ◽  
Continuing Medical Education ◽  
Healthcare Systems ◽  
Specialty Training ◽  
Clinical Competencies ◽  
Learning Modules ◽  
Surgical Simulators ◽  
E Learning ◽  
Training Programmes ◽  
Surgical Videos

The COVID-19 pandemic has affected healthcare systems worldwide. The disruption to hospital routines has affected continuing medical education (CME) for specialty trainees (STs). We share our academic institution's experience in mitigating the disruption on the CME programme amidst the pandemic. Most specialty training programmes had switched to videoconferencing to maintain teaching. Some programmes also utilized small group teachings with precautions and e-learning modules. Surgical residencies were disproportionately affected due to reductions in elective procedures but some ways to provide continued surgical exposure include going through archived surgical videos with technical pointers from experienced faculty and usage of surgical simulators . We should adapt CME sessions to keep trainees up to date with core clinical competencies as they will continue to manage both COVID-19 and non-COVID-19 cases and this pandemic may last until year's end.

The Vineyard Approach

2009 ◽  
pp. 1510-1529
Author(s):  
Adriana S. Vivacqua ◽  
Jana Moreira de Souza
Keyword(s):  
Interaction Analysis ◽  
User Interaction ◽  
Distributed Environments ◽  
Awareness Information ◽  
E Mail

Recent research has noted that individuals engage in multiple collaborations simultaneously and have difficulties managing these different contexts. Studies indicate that awareness of others’ activities plays an important part in collaboration. Proximity also has a strong effect on collaboration, as maintaining awareness of peers becomes harder in distributed environments. Many awareness systems have been proposed to deliver information on peers’ activities or status, which usually either require extensive configuration by the user or disseminate information regardless of users’ interests. With the increase in information available, systems must be sensitive to users’ attention foci, minimizing interruptions, and helping focus and providing information according to current tasks. We have been investigating ways to determine awareness foci through e-mail-based user interaction analysis. Our goal is to be able to draw inferences as to whom and about what a user is collaborating, enabling a system to automatically distribute awareness information and adapt itself according to users’ needs without much configuration.

scholarly journals RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures

2019 ◽  
Author(s):  
Robail Yasrab ◽  
Jonathan A Atkinson ◽  
Darren M Wells ◽  
Andrew P French ◽  
Tony P Pridmore ◽  
...  
Keyword(s):  
Deep Learning ◽  
Plant Species ◽  
Network Architecture ◽  
Search Algorithm ◽  
Plant Root ◽  
User Interaction ◽  
Fold Increase ◽  
Learning Approaches ◽  
Root Tips ◽  
System Architectures

AbstractWe present a new image analysis approach that provides fully-automatic extraction of complex root system architectures from a range of plant species in varied imaging setups. Driven by modern deep-learning approaches, RootNav 2.0 replaces previously manual and semi-automatic feature extraction with an extremely deep multi-task Convolutional Neural Network architecture. The network has been designed to explicitly combine local pixel information with global scene information in order to accurately segment small root features across high-resolution images. In addition, the network simultaneously locates seeds, and first and second order root tips to drive a search algorithm seeking optimal paths throughout the image, extracting accurate architectures without user interaction. The proposed method is evaluated on images of wheat (Triticum aestivum L.) from a seedling assay. The results are compared with semi-automatic analysis via the original RootNav tool, demonstrating comparable accuracy, with a 10-fold increase in speed. We then demonstrate the ability of the network to adapt to different plant species via transfer learning, offering similar accuracy when transferred to an Arabidopsis thaliana plate assay. We transfer for a final time to images of Brassica napus from a hydroponic assay, and still demonstrate good accuracy despite many fewer training images. The tool outputs root architectures in the widely accepted RSML standard, for which numerous analysis packages exist (http://rootsystemml.github.io/), as well as segmentation masks compatible with other automated measurement tools.

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