Recent Advancements in Robotic Minimally Invasive Surgery: A Review from the Perspective of Robotic Surgery in the Philippines

Chioson, Francheska B.; Espiritu, Noelle Marie D.; Munsayac, Francisco Emmanuel T.; Jimenez, Fersen N.; Lindo, Delfin Enrique G.; Santos, Michael Bryan S.; Reyes, Jeffrey; Tan, Levi Joseph A.; Dajay, Ryan Christoper R.; Baldovino, Renann G.; Bugtai, Nilo T.

doi:10.1109/hnicem51456.2020.9400042

Cited by 10 publications

(6 citation statements)

References 4 publications

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“…Teleoperated robotic systems have been progressively permeating healthcare, offering solutions that bridge physical distances and enhance capabilities. Notably, teleoperated surgical systems, such as the da Vinci Surgical System [13], have demonstrated the viability and advantages of remote robotic control in healthcare. Studies exploring teleoperation in healthcare have highlighted aspects like latency, reliability, and user experience as critical factors influencing task performance and system usability [14].…”

Section: Related Workmentioning

confidence: 99%

OCTOPUS: Optimized Cross-border TeleOperated Medicine Pouring Using NextGen Seamless Communication Networks

Babaians,

Gorla,

Ayvasik

et al. 2023

Preprint

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<p>Teleoperated robotic systems have become instrumental in advancing remote healthcare services, especially in tasks that require precision and expert oversight. The advent of cutting-edge telecommunication infrastructures, such as 5G, has amplified interest in these systems, although their full potential remains untapped. This study delves into the effectiveness of teleoperated robotic systems for medicine dispensing, comparing the performance of Wi-Fi and 5G networks in a transnational setup between two cities -- Prague and Munich. We focus on the robot's ability to accurately dispense a predefined volume of a syrup-like substance, simulating a delicate healthcare operation, under the guidance of a distant operator. Our research examines the system's holistic performance in real-world implementation across diverse scenarios, encompassing varying network states and feedback methods. Two primary feedback scenarios are considered: one incorporating real-time video streaming and another offering explicit quantitative data on the dispensed volume. Using a blend of quantitative and qualitative methods, we aim to determine the influence of network type and feedback on task efficacy and user satisfaction. This study provides insights into the potential and hurdles of deploying teleoperated robotic systems in crucial healthcare contexts, guiding future advancements in this domain, especially in scenarios, where precision and dependability are crucial.</p>

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Section: Related Workmentioning

confidence: 99%

OCTOPUS: Optimized Cross-border TeleOperated Medicine Pouring Using NextGen Seamless Communication Networks

Babaians,

Gorla,

Ayvasik

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…These are robots that carries out tasks instead of other equipment or people outside of industrial automation applications. According to Gonzalez-Aguirre et al (2021), the IFR recorded a market share on service robots of 27 billion USD. Moreover, in the United States alone 29% of all robotic companies that have a denomination of service robots in the new startups.…”

Section: Global Trendsmentioning

confidence: 99%

“…Some common roadblocks are ethics, utilitarian values, autonomy, battery estimation and modeling, lack of formalism and generalization in taxonomy and classifications and the design problems of gender biases (Gonzalez-Aguirre et al, 2021). The ethical issues of social assistive robots were investigated by Boada et al (2021), where they focused on three main categories: well-being, care and justice.…”

Section: Global Roadblocksmentioning

confidence: 99%

“…This is due to workers having a lack of trust in its functionality or safety, or even fear of job loss. After all, if regions such as the EU have 72% of its citizens viewing robots as beneficial, yet at the same time 70% see them as job-killers, it is quite clear that incorporating them in workplaces will be difficult Utilitarian values are a challenge in the implementation of social robots (Gonzalez-Aguirre et al, 2021). The perceived value of the utilitarian values is referred to as the person's overall evaluation of the benefits of the robot's function and utility based on the experience they had.…”

Section: Global Roadblocksmentioning

confidence: 99%

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Comprehensive Study of Industry 4.0 in Robotics for Policy Development

Munsayac,

Culaba,

Bugtai

et al. 2023

RMRJ

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Robotics has advanced greatly in the past years. Modern robots can do complex tasks and are the central components of Industry 4.0. These improvements make robots applicable in a variety of fields like security, exploration, entertainment, agriculture, healthcare and industry. While advancements in robotics come with many advantages, it still faces roadblocks that hinder its development or implementation. To aid in the public acceptance and adoption of robotics in the industry, policy development is critical to minimize the social and economic effects. Several policy recommendations were made such as improved government support, wage insurance, upskilling programs, information dissemination, and robot tax, which would accelerate robotics development, bolster job security, publicize key information, and stabilize taxation.

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“…Given the differences in application, reviews of simulation training for general robotics, such as [47], focus on the use of RGB(-D) imaging, which generally does not apply in the context of MIS. Further, although previous reviews include recent advances in MIS [48][49][50][51][52][53][54][55][56][57][58][59], robotic-assisted MIS [55,[60][61][62][63], machine learning in surgical interventions [34,35,[64][65][66][67][68][69][70][71][72], or surgical simulation for human training purposes [73][74][75][76], in silico training specifically for intelligent MIS systems remains an emerging area deserving of an introduction. We focus this review on frameworks and successful applications in three imaging modalities which have received the bulk of researchers' attention, namely endoscopy, ultrasound (US), and x-ray.…”

Section: Introductionmentioning

confidence: 99%

In silico simulation: a key enabling technology for next-generation intelligent surgical systems

et al. 2023

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To mitigate the challenges of operating through narrow incisions under image guidance, there is a desire to develop intelligent systems that assist decision making and spatial reasoning in minimally invasive surgery (MIS). In this context, machine learning-based systems for interventional image analysis are receiving considerable attention because of their flexibility and the opportunity to provide immediate, informative feedback to clinicians. It is further believed that learning-based image analysis may eventually form the foundation for semior fully automated delivery of surgical treatments. A significant bottleneck in developing such systems is the availability of annotated images with sufficient variability to train generalizable models, particularly the most recently favored deep convolutional neural networks or transformer architectures. A popular alternative to acquiring and manually annotating data from the clinical practice is the simulation of these data from human-based models. Simulation has many advantages, including the avoidance of ethical issues, precisely controlled environments, and the scalability of data collection. Here, we survey recent work that relies on in silico training of learning-based MIS systems, in which data are generated via computational simulation. For each imaging modality, we review available simulation tools in terms of compute requirements, image quality, and usability, as well as their applications for training intelligent systems. We further discuss open challenges for simulation-based development of MIS systems, such as the need for integrated imaging and physical modeling for non-optical modalities, as well as generative patient models not dependent on underlying CT, MRI, or other patient data. In conclusion, as the capabilities of in silico training mature, with respect to sim-to-real transfer, computational efficiency, and degree of control, they are contributing toward the next generation of intelligent surgical systems.

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Recent Advancements in Robotic Minimally Invasive Surgery: A Review from the Perspective of Robotic Surgery in the Philippines

Cited by 10 publications

References 4 publications

OCTOPUS: Optimized Cross-border TeleOperated Medicine Pouring Using NextGen Seamless Communication Networks

OCTOPUS: Optimized Cross-border TeleOperated Medicine Pouring Using NextGen Seamless Communication Networks

Comprehensive Study of Industry 4.0 in Robotics for Policy Development

In silico simulation: a key enabling technology for next-generation intelligent surgical systems

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