Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis
Artificial intelligence (AI) now enables automated interpretation of medical images. However,
AI's potential use for interventional image analysis remains largely untapped. This is …
AI's potential use for interventional image analysis remains largely untapped. This is …
Autonomous navigation for robot-assisted intraluminal and endovascular procedures: A systematic review
Increased demand for less invasive procedures has accelerated the adoption of Intraluminal
Procedures (IP) and Endovascular Interventions (EI) performed through body lumens and …
Procedures (IP) and Endovascular Interventions (EI) performed through body lumens and …
[HTML][HTML] A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going
Abstract Minimally Invasive Procedures (MIPs) emerged as an alternative to more invasive
surgical approaches, offering patient benefits such as smaller incisions, less pain, and …
surgical approaches, offering patient benefits such as smaller incisions, less pain, and …
Soft robot-assisted minimally invasive surgery and interventions: Advances and outlook
Since the emergence of soft robotics around two decades ago, research interest in the field
has escalated at a pace. It is fuelled by the industry's appreciation of the wide range of soft …
has escalated at a pace. It is fuelled by the industry's appreciation of the wide range of soft …
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots
S Schmidgall, A Krieger… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Recent advances in robot-assisted surgery have resulted in progressively more precise,
efficient, and minimally invasive procedures, sparking a new era of robotic surgical …
efficient, and minimally invasive procedures, sparking a new era of robotic surgical …
Autonomous navigation of a magnetic colonoscope using force sensing and a heuristic search algorithm
HE Huang, SY Yen, CF Chu, FM Suk, GS Lien… - Scientific reports, 2021 - nature.com
This paper presents an autonomous navigation system for cost-effective magnetic-assisted
colonoscopy, employing force-based sensors, an actuator, a proportional–integrator …
colonoscopy, employing force-based sensors, an actuator, a proportional–integrator …
Modeling and experimental characterization of propulsion of a spiral-type microrobot for medical use in gastrointestinal tract
In this paper, a spiral-type medical robot based on an endoscopic capsule was propelled in
a fluidic and tubular environment using electromagnetic actuation. Both modeling and …
a fluidic and tubular environment using electromagnetic actuation. Both modeling and …
[HTML][HTML] A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
M Asgari, L Magerand, L Manfredi - Frontiers in Robotics and AI, 2023 - frontiersin.org
Colorectal cancer (CRC) is the third most common cancer worldwide and responsible for
approximately 1 million deaths annually. Early screening is essential to increase the …
approximately 1 million deaths annually. Early screening is essential to increase the …
Colonoscopy navigation using end-to-end deep visuomotor control: A user study
Flexible Endoscopes (FEs) for colonoscopy present several limitations due to their inherent
complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic FEs …
complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic FEs …
Deep reinforcement learning-based control for stomach coverage scanning of wireless capsule endoscopy
Due to its non-invasive and painless characteristics, wireless capsule endoscopy has
become the new gold standard for assessing gastrointestinal disorders. Omissions …
become the new gold standard for assessing gastrointestinal disorders. Omissions …