In this section
We use perceptual methods, AI, and frugal robotics innovation to deliver transformative diagnostic and treatment solutions.
The HARMS lab leverages perceptually enabled methodologies, artificial intelligence, and frugal innovation in robotics (such as soft surgical robots) to deliver transformative solutions for diagnosis and treatment. Our research is driven by both problem-solving and curiosity, aiming to build a comprehensive understanding of the actions, interactions, and reactions occurring in the operating room. We focus on using robotic technologies to facilitate procedures that are not yet widely adopted, particularly in endoluminal surgery, such as advanced treatments for gastrointestinal cancer.
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Dr George Mylonas BEng, MSc, DIC, PhD
Senior Lecturer in Robotics and Technology in Cancer
Dr Adrian Rubio Solis
Research Associate in Sensing and Machine Learning
@article{Alian:2023:10.1016/j.tige.2022.11.006,
author = {Alian, A and Zari, E and Wang, Z and Franco, E and Avery, JP and Runciman, M and Lo, B and Rodriguez, y Baena F and Mylonas, G},
doi = {10.1016/j.tige.2022.11.006},
journal = {Techniques and Innovations in Gastrointestinal Endoscopy},
pages = {67--81},
title = {Current engineering developments for robotic systems in flexible endoscopy},
url = {http://dx.doi.org/10.1016/j.tige.2022.11.006},
volume = {25},
year = {2023}
}
TY - JOUR
AB - The past four decades have seen an increase in the incidence of early-onset gastrointestinal cancer. Because early-stage cancer detection is vital to reduce mortality rate, mass screening colonoscopy provides the most effective prevention strategy. However, conventional endoscopy is a painful and technically challenging procedure that requires sedation and experienced endoscopists to be performed. To overcome the current limitations, technological innovation is needed in colonoscopy. In recent years, researchers worldwide have worked to enhance the diagnostic and therapeutic capabilities of endoscopes. The new frontier of endoscopic interventions is represented by robotic flexible endoscopy. Among all options, self-propelling soft endoscopes are particularly promising thanks to their dexterity and adaptability to the curvilinear gastrointestinal anatomy. For these devices to replace the standard endoscopes, integration with embedded sensors and advanced surgical navigation technologies must be investigated. In this review, the progress in robotic endoscopy was divided into the fundamental areas of design, sensing, and imaging. The article offers an overview of the most promising advancements on these three topics since 2018. Continuum endoscopes, capsule endoscopes, and add-on endoscopic devices were included, with a focus on fluid-driven, tendon-driven, and magnetic actuation. Sensing methods employed for the shape and force estimation of flexible endoscopes were classified into model- and sensor-based approaches. Finally, some key contributions in molecular imaging technologies, artificial neural networks, and software algorithms are described. Open challenges are discussed to outline a path toward clinical practice for the next generation of endoscopic devices.
AU - Alian,A
AU - Zari,E
AU - Wang,Z
AU - Franco,E
AU - Avery,JP
AU - Runciman,M
AU - Lo,B
AU - Rodriguez,y Baena F
AU - Mylonas,G
DO - 10.1016/j.tige.2022.11.006
EP - 81
PY - 2023///
SN - 2590-0307
SP - 67
TI - Current engineering developments for robotic systems in flexible endoscopy
T2 - Techniques and Innovations in Gastrointestinal Endoscopy
UR - http://dx.doi.org/10.1016/j.tige.2022.11.006
UR - http://hdl.handle.net/10044/1/103671
VL - 25
ER -
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