scholarly journals Real-Time Blood Circulation and Bleeding Model for Surgical Training

2013 ◽  
Vol 60 (4) ◽  
pp. 1013-1022 ◽  
Author(s):  
J. Boisvert ◽  
G. Poirier ◽  
L. Borgeat ◽  
G. Godin
Author(s):  
A. V. Kurbako ◽  
◽  
E. I. Borovkova ◽  
A. R. Kiselev ◽  
V. V. Skazkina ◽  
...  

Author(s):  
Yifan Li ◽  
Kristin Chrouser ◽  
Clive D’Souza

Intraoperative stress can influence both surgeon health and patient outcomes, however stress management is not properly assessed during surgical training. Seven healthy, novice individuals participated in an experiment involving precision pin transfers using laparoscopic surgical instruments. A visual stressor introduced by altering the digital blur in a real-time video display (none, low, and high) was hypothesized to influence postural control and task performance. Preliminary descriptive analyses indicated a negative influence of the visual stressor on performance (i.e., pins transferred per minute), however the effects on postural control (i.e., linear accelerations at the forehead and center of pressure displacements) varied between participants, suggesting individuals differ in the magnitude of response to environmental stressors. Implications for surgical training and real-time measurement of intraoperative stress are discussed.


2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Feiyan Li ◽  
Yonghang Tai ◽  
Qiong Li ◽  
Jun Peng ◽  
Xiaoqiao Huang ◽  
...  

Realistic tool-tissue interactive modeling has been recognized as an essential requirement in the training of virtual surgery. A virtual basic surgical training framework integrated with real-time force rendering has been recognized as one of the most immersive implementations in medical education. Yet, compared to the original intraoperative data, there has always been an argument that these data are represented by lower fidelity in virtual surgical training. In this paper, a dynamic biomechanics experimental framework is designed to achieve a highly immersive haptic sensation during the biopsy therapy with human respiratory motion; it is the first time to introduce the idea of periodic extension idea into the dynamic percutaneous force modeling. Clinical evaluation is conducted and performed in the Yunnan First People’s Hospital, which not only demonstrated a higher fitting degree (AVG: 99.36%) with the intraoperation data than previous algorithms (AVG: 87.83%, 72.07%, and 66.70%) but also shows a universal fitting range with multilayer tissue. 27 urologists comprising 18 novices and 9 professors were invited to the VR-based training evaluation based on the proposed haptic rendering solution. Subjective and objective results demonstrated higher performance than the existing benchmark training simulator. Combining these in a systematic approach, tuned with specific fidelity requirements, haptically enabled medical simulation systems would be able to provide a more immersive and effective training environment.


Author(s):  
Sudanthi Wijewickrema ◽  
Xingjun Ma ◽  
Patorn Piromchai ◽  
Robert Briggs ◽  
James Bailey ◽  
...  

Author(s):  
Changsheng Xiao ◽  
Yuanjing Feng ◽  
Yongqiang Li ◽  
Qingrun Zeng ◽  
Jun Zhang ◽  
...  
Keyword(s):  

2017 ◽  
Vol 139 (03) ◽  
pp. 42-47
Author(s):  
Alan S. Brown

This article focuses on various features and advantages of the Smart Tissue Autonomous Robot (STAR), a robot being developed to perform tissue surgeries. Scientists believe that by embedding the knowledge of the best surgeons in digital systems, autonomous and semiautonomous robots could deliver universal access to the best surgical techniques. An autonomous robot must not only manipulate a needle and thread, but also follow—and react to—the shifting shapes that it creates in real time. STAR started its surgical career by working on rubbery pads with small protrusions. Surgeons use them to learn to stitch together wounds or tissues. The STAR research team plans to integrate additional sensors onto their robot to give surgeons better surgical information. Using a combination of force sensors and sophisticated multispectral cameras that see more than visible light, future robots might advise surgeons about tissue health, thickness, strength, and blood circulation. This would quantify knowledge that surgeons now learn only through experience.


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