[HTML][HTML] Insights into infusion-based targeted drug delivery in the brain: perspectives, challenges and opportunities

A Jamal, T Yuan, S Galvan, A Castellano… - International Journal of …, 2022 - mdpi.com
Targeted drug delivery in the brain is instrumental in the treatment of lethal brain diseases,
such as glioblastoma multiforme, the most aggressive primary central nervous system …

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 …

Autonomous medical needle steering in vivo

A Kuntz, M Emerson, TE Ertop, I Fried, M Fu… - Science Robotics, 2023 - science.org
The use of needles to access sites within organs is fundamental to many interventional
medical procedures both for diagnosis and treatment. Safely and accurately navigating a …

[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 …

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 …

A heuristically accelerated reinforcement learning-based neurosurgical path planner

G Ji, Q Gao, T Zhang, L Cao, Z Sun - Cyborg and Bionic Systems, 2023 - spj.science.org
The steerable needle becomes appealing in the neurosurgery intervention procedure
because of its flexibility to bypass critical regions inside the brain; with proper path planning …

A new path planning method for bevel-tip flexible needle insertion in 3D space with multiple targets and obstacles

Z Tan, D Zhang, H Liang, Q Wang, W Cai - Control Theory and …, 2022 - Springer
In this paper, a new bevel-tip flexible needle path planning method based on the bee-
foraging learning particle swarm optimization (BFL-PSO) algorithm and the needle retraction …

Automated flexible needle trajectory planning for keyhole neurosurgery using reinforcement learning

J Kumar, CS Raut, N Patel - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
Planning a safe trajectory for minimally invasive (keyhole) neurosurgery procedures require
avoiding critical anatomical structures such as blood vessels and ventricles while optimizing …

FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation with Nonholonomic Constraints

M Shah, N Patel - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
Path planning algorithms for minimally invasive neurosurgery involve avoiding critical
structures such as blood vessels and ventricles while following needle kinematics. The …

[HTML][HTML] Neural Tract Avoidance Path-Planning Optimization: Robotic Neurosurgery

J Manrique-Cordoba, C Martorell, JD Romero-Ante… - Applied Sciences, 2024 - mdpi.com
Background: We propose a three-dimensional path-planning method to generate optimized
surgical trajectories for steering flexible needles along curved paths while avoiding critical …