Abstract
Background: Robot plays an important role in minimally invasive medical field. The interventional robots applied in diagnosis or treatment for prostate cancer can raise the efficiency and accuracy of the surgery procedures, release doctors’ pressure. From functional considerations, the interventional robot is mainly composed of two parts: the interventional mechanism and the image navigation mechanism.
Objective: To provide an overview of recent interventional robots for prostate cancer and introduce their respective characteristics and development. Method: This paper reviews various representative patents of interventional robots for prostate cancer, especially focuses on the interventional mechanism and the navigation method of image navigation mechanism. Results: The differences of different types and different methods are compared and analyzed and their characters are concluded. In the end, current and future developments of interventional robots of diagnosis or treatment for prostate cancer are discussed. Conclusion: Interventional robot for prostate cancer has important practical significance, and plays an important role in minimally invasive medical field. Further improvements are needed in the aspects of interventional mechanism, intelligence, image navigation of the interventional robot for prostate cancer. More patents on interventional robot for prostate cancer should be invented.Keywords: Image navigation method, interventional, Magnetic Resonance Imaging(MRI), minimally invasive, prostate cancer, robot, Transrectal Ultrasonography (TRUS).
Call for Papers in Thematic Issues
?Advanced Manufacturing techniques for Wear and corrosion resistance applications?
The ability to withstand wear and corrosion is an important quality that is required in a wide range of industries, such as the aerospace, automotive, oil and gas, biomedical, and many more sectors. The need for materials and components with increased resistance to wear and corrosion has led to the ...read more
Artificial Intelligence in Advanced Ceramics Reinforced Materials and Coatings for Protection of Turbomachinery
Artificial intelligence (AI) is a very emerging technology in various industrial applications. The expert system enables help in sensing, monitoring, prediction, controlling, and diagnosis the various problems, and provides ease of work. The protection of turbo-machinery and offshore applications against erosion, corrosion, and abrasion is a global concern in the ...read more
Emerging Methods and Techniques in Sustainable Manufacturing and Materials Processing
Sustainability in manufacturing practices to process materials is a globally accepted mandate and it consists of ecofriendly strategies and methods such as processing, synthesis, fabrication, process optimization by experimental, numerical and computational approaches to test, evaluate the performance and reliability of different materials. The success in enhancement of materials processing ...read more
Futuristic Trends in Decision-Making Models for Sustainability of Advanced Materials and Manufacturing
environmental accountability, which has resulted in substantial advancements in the domains of materials science and manufacturing. As industries move towards more environmentally conscious and resource-efficient practices, there is a pressing need to identify innovative solutions that will drive sustainable growth. The primary objective of this special issue is to make ...read more
Related Journals
Related Books
Intelligent Technologies for Automated Electronic Systems
Modern Radio Signals Filtering Devices Methods, Technologies, & Structures
Functional Bio-based Materials for Regenerative Medicine: From Bench to Bedside (Part 2)
Mechanical Engineering Technologies and Applications
Multistage Interconnection Network Design for Engineers
Mechanical Engineering Technologies and Applications
Semi-rotary and Linear Actuators for Compressed Air Energy Storage and Energy Efficient Pneumatic Applications
Waste Valorization for Value-added Products
One-Dimensional Transient Flow in Pipelines Modelling and Simulation
Principles of Automation and Control
21
2
1