[HTML][HTML] A survey for machine learning-based control of continuum robots

X Wang, Y Li, KW Kwok - Frontiers in Robotics and AI, 2021 - frontiersin.org
Soft continuum robots have been accepted as a promising category of biomedical robots,
accredited to the robots' inherent compliance that makes them safely interact with their …

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare

M Alkhodari, Z Xiong, AH Khandoker… - Expert Review of …, 2023 - Taylor & Francis
Introduction Guidelines advise ongoing follow-up of patients after hypertensive disorders of
pregnancy (HDP) to assess cardiovascular risk and manage future patient-specific …

Soft robot-assisted minimally invasive surgery and interventions: Advances and outlook

KW Kwok, H Wurdemann, A Arezzo… - Proceedings of the …, 2022 - ieeexplore.ieee.org
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 …

A fuzzy reinforcement learning approach for continuum robot control

M Goharimanesh, A Mehrkish… - Journal of Intelligent & …, 2020 - Springer
Continuum robots (CRs) hold great potential for many medical and industrial applications
where compliant interaction within the potentially confined environment is required …

Deep reinforcement learning for guidewire navigation in coronary artery phantom

J Kweon, K Kim, C Lee, H Kwon, J Park, K Song… - IEEE …, 2021 - ieeexplore.ieee.org
In percutaneous intervention for treatment of coronary plaques, guidewire navigation is a
primary procedure for stent delivery. Steering a flexible guidewire within coronary arteries …

Inverse reinforcement learning intra-operative path planning for steerable needle

A Segato, M Di Marzo, S Zucchelli… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: This paper presentsa safe and effective keyhole neurosurgery intra-operative
planning framework for flexible neurosurgical robots. The framework is intended to support …

Autonomous navigation for robot-assisted intraluminal and endovascular procedures: A systematic review

A Pore, Z Li, D Dall'Alba, A Hernansanz… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Increased demand for less invasive procedures has accelerated the adoption of Intraluminal
Procedures (IP) and Endovascular Interventions (EI) performed through body lumens and …

[HTML][HTML] Implementing machine learning in interventional cardiology: the benefits are worth the trouble

W Ben Ali, A Pesaranghader, R Avram… - Frontiers in …, 2021 - frontiersin.org
Driven by recent innovations and technological progress, the increasing quality and amount
of biomedical data coupled with the advances in computing power allowed for much …

[HTML][HTML] A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going

D Wu, R Zhang, A Pore, D Dall'Alba, XT Ha, Z Li… - … Signal Processing and …, 2024 - Elsevier
Abstract Minimally Invasive Procedures (MIPs) emerged as an alternative to more invasive
surgical approaches, offering patient benefits such as smaller incisions, less pain, and …

Towards adaptive continuous control of soft robotic manipulator using reinforcement learning

Y Li, X Wang, KW Kwok - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
Although the soft robot is gaining considerable popularity in dexterous and safe
manipulation, accurate motion control is still an open problem to be explored. Recent …