A Neurotechnological Aid For Semi-Autonomous Suction In Robotic-Assisted Surgery

Author(s):  
Juan Antonio Barragan ◽  
Jing Yang ◽  
Denny Yu ◽  
Juan P. Wachs

Abstract Adoption of Robotic-Assisted Surgery has steadily increased as it improves the surgeon’s dexterity and visualization. Despite these advantages, the success of a robotic procedure is highly dependent on the availability of a proficient surgical assistant that can collaborate with the surgeon. With the introduction of novel medical devices, the surgeon has taken over some of the surgical assistant’s tasks to increase their independence. This, however, has also resulted in surgeons experiencing higher levels of cognitive demands that can lead to reduced performance. In this work, we proposed a neurotechnology-based semi-autonomous assistant to release the main surgeon of the additional cognitive demands of a critical support task: blood suction. To create a more synergistic collaboration between the surgeon and the robotic assistant, a real-time cognitive workload assessment system based on EEG signals and eye-tracking was introduced. A computational experiment demonstrates that cognitive workload can be effectively detected with an 80% accuracy. Then, we show how the surgical performance can be improved by using the neurotechnological autonomous assistant as a close feedback loop to prevent states of high cognitive demands. Our findings highlight the potential of utilizing real-time cognitive workload assessments to improve the collaboration between an autonomous algorithm and the surgeon.

2018 ◽  
Vol 12 ◽  
Author(s):  
Jackie Cha ◽  
Glebys Gonzalez ◽  
Jay Sulek ◽  
Chandru Sundaram ◽  
Juan Wachs ◽  
...  

2018 ◽  
Vol 42 (11) ◽  
pp. 3599-3607 ◽  
Author(s):  
Jeannette Weber ◽  
Ken Catchpole ◽  
Armin J. Becker ◽  
Boris Schlenker ◽  
Matthias Weigl

Author(s):  
Falisha Kanji ◽  
Kate Cohen ◽  
Tara Cohen ◽  
Myrtede Alfred ◽  
Daniel Shouhed ◽  
...  

A roboticist by the name of Rodney Brooks once said, “the benefits of having robots could vastly outweigh the problems.” While this may be true, it is important to assess these problems and understand how they may be mitigated. The use of robots is growing in many industries and can be found in areas such as manufacturing, healthcare, agriculture, food preparation and national defense. Within healthcare, robots are commonly used in surgery to perform procedures such as sacrocolpopexies, prostatectomies, hysterectomies, hernia repairs and nephrectomies. The benefits of robotic-assisted surgery (RAS) are similar to laparoscopy and include decreased blood loss, faster recovery time, and shorter lengths of stay at the hospital. Unlike purely laparoscopic surgery, the robot provides wrist dexterity, allowing for more complex surgeries to be performed in a minimally invasive fashion by surgeons who may not have expertise in laparoscopy. However, recent reports have heightened challenges facing RAS operating room (OR) teams. Effects of the OR layout, team communication, team coordination, disruptions to workflow, and equipment malfunctions were among the issues observed in a variety of RAS procedures. Issues such as disruptions to the workflow trigger delays and inefficiencies, which in turn could affect patient safety and quality of care. As part of a wider study to implement and evaluate multiple interventions associated with improving efficiency and safety of RAS, a literature search was conducted to investigate issues experienced by the OR team in RAS and the interventions developed and tested to resolve these issues. The literature search excluded studies concerned with laparoscopic and open surgery; proficiency training; and articles that were not written in English. Commentaries, editorials, and abstracts were further excluded. At the conclusion of the literature search, 17 articles involving the implementation or evaluation of interventions surrounding RAS were evaluated and categorized based on the issues that were addressed. Seven articles discussed disruptions to the OR team’s workflow; five articles discussed issues with patient safety, surgical complications, or risk assessment; three papers discussed issues with teamwork; and the remaining articles discussed issues with communication, efficiency, cognitive load, and surgical performance. Despite the number of articles that were found to discuss issues in RAS, only four of the 17 articles implemented interventions. The interventions primarily included the use of checklists and nontechnical skills training. The scarce number of articles focusing on interventions aimed at improving the safety, quality, and efficiency of RAS demonstrates the wide gap that exists between known problems and potential solutions. As the number of robotic-assisted procedures continue to grow, it is important to improve OR team efficiency and patient care. The current study is part of a five-year, four-site study investigating the nature of issues that exist in RAS. The larger study will also design and implement interventions based on RAS observations conducted by the researchers in an effort to ensure that the benefits of robotic surgery truly do outweigh the existing problems.


Author(s):  
Mengdi Zhou ◽  
Shuang Peng ◽  
Minghui Yang ◽  
Nan Li ◽  
Hongbin Wang ◽  
...  

With the development of Chinese medical insurance industry, the amount of claim cases is growing rapidly. Ultimately, more claims necessarily indicate that the insurance company has to spend much time assessing claims and decides how much compensation the claimant should receive, which is a highly professional process that involves many complex operations. Therefore, the insurance assessor's role is essential. However, for the junior assessor often lacking in practical experience, it is not easy to quickly handle such an online procedure. In order to alleviate assessors' cognitive workload, we propose an Intelligent Insurance Assessment System (IIAS) that helps effectively collect claimant information through online real-time conversation analysis. With the assistance of IIAS, the average time cost of the insurance assessment procedure is reduced from 55 minutes to 35 minutes.


2019 ◽  
Author(s):  
Ibrahim S Al-Akash

Complications of robotic-assisted surgery are on the rise, partly due to surgeons not receiving proper training. Using the current Da Vinci (DV) surgical system, 150-3,000 surgeries must be performed to achieve proficiency. To improve performance, a new system was developed using Nintendo Joycon (NJ) controls. The system was tested using NJ and the DV control systems, with two users (gamer and doctor), in a simulated skills assessment in 2-dimensional (2D) and 3-dimensional (3D) modes. The simulation completion time and error count were used to calculate a Fundamentals of Robotic Surgery Skills Assessment (FRS) score. The results indicate the task time, error, FRS scores, and learning rates had improved significantly (p<0.05). The risk ratios indicate the Da Vinci control system increases the risk of error significantly (p<0.05). Based on the data collected in this study, implementing a Nintendo Joycon control system improves task time by 83% for the doctor and by 88% for the gamer, reduces error by 73% for the doctor and by 82% for the gamer, improves FRS score by 72% for the doctor and by 46% for the gamer, and accelerates the learning rate by 84% for the doctor and by 86% for the gamer. The data collected indicates that implementing a Nintendo Joycon control system will significantly improve surgical performance by accelerating the learning rate and reducing error.


2019 ◽  
Author(s):  
Ibrahim S Al-Akash

Complications of robotic-assisted surgery are on the rise, partly due to surgeons not receiving proper training. Using the current Da Vinci (DV) surgical system, 150-3,000 surgeries must be performed to achieve proficiency. To improve performance, a new system was developed using Nintendo Joycon (NJ) controls. The system was tested using NJ and the DV control systems, with two users (gamer and doctor), in a simulated skills assessment in 2-dimensional (2D) and 3-dimensional (3D) modes. The simulation completion time and error count were used to calculate a Fundamentals of Robotic Surgery Skills Assessment (FRS) score. The results indicate the task time, error, FRS scores, and learning rates had improved significantly (p<0.05). The risk ratios indicate the Da Vinci control system increases the risk of error significantly (p<0.05). Based on the data collected in this study, implementing a Nintendo Joycon control system improves task time by 83% for the doctor and by 88% for the gamer, reduces error by 73% for the doctor and by 82% for the gamer, improves FRS score by 72% for the doctor and by 46% for the gamer, and accelerates the learning rate by 84% for the doctor and by 86% for the gamer. The data collected indicates that implementing a Nintendo Joycon control system will significantly improve surgical performance by accelerating the learning rate and reducing error.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kate McBride ◽  
Daniel Steffens ◽  
Christina Stanislaus ◽  
Michael Solomon ◽  
Teresa Anderson ◽  
...  

Abstract Background A barrier to the uptake of robotic-assisted surgery (RAS) continues to be the perceived high costs. A lack of detailed costing information has made it difficult for public hospitals in particular to determine whether use of the technology is justified. This study aims to provide a detailed description of the patient episode costs and the contribution of RAS specific costs for multiple specialties in the public sector. Methods A retrospective descriptive costing review of all RAS cases undertaken at a large public tertiary referral hospital in Sydney, Australia from August 2016 to December 2018 was completed. This included RAS cases within benign gynaecology, cardiothoracic, colorectal and urology, with the total costs described utilizing various inpatient costing data, and RAS specific implementation, maintenance and consumable costs. Results Of 211 RAS patients, substantial variation was found between specialties with the overall median cost per patient being $19,269 (Interquartile range (IQR): $15,445 to $32,199). The RAS specific costs were $8828 (46%) made up of fixed costs including $4691 (24%) implementation and $2290 (12%) maintenance, both of which are volume dependent; and $1848 (10%) RAS consumable costs. This was in the context of 37% robotic theatre utilisation. Conclusions There is considerable variation across surgical specialties for the cost of RAS. It is important to highlight the different cost components and drivers associated with a RAS program including its dependence on volume and how it fits within funding systems in the public sector.


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