Technological Breakthroughs and Advancements in Minimally Invasive Surgical Industry

Technological improvements in surgical systems and instruments have resulted in breakthroughs and disruptive eras in healthcare.

The digital camera’s developments improved the imaging of interior tracts much more. As a result, the preference for minimally invasive surgeries (MISs) grew throughout time, leading to the development of robotic-assisted operations.

The notion of robotic-assisted MIS procedures has been developed, and it is being driven by the rising necessity to support MISs with numerous instruments via multiple access ports.

According to BIS Research, the global minimally invasive surgical systems market was valued at $27,882.8 million in 2020 and is anticipated to reach $55,716.7 million by the end of 2031, growing at a CAGR of 6.3% during 2021–2031.

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Minimally Invasive Surgical Technologies

4K Imaging Technologies

The human body is extremely complicated. When operating on a small blood artery, nerve, ligament, muscle, or organ, the surgeon needs improved visibility in terms of color, contrast, and high resolution to detect bleeding more easily.

Similarly, in the case of diagnostic procedures such as radiography, X-ray, computed tomography scan, magnetic resonance imaging, mammography, and endoscopy, strong contrast and deeper black color are necessary to identify any abnormalities.

The user may view a picture with better clarity and color thanks to the information collected by the camera and the capabilities of the 4K display, and they can even zoom in to a significant extent without distorting the image.

The 4K resolution has around 8+ million pixels in total, which is why it is also known as 8MP resolution displays, while the regular HD resolution has approximately 6+ million pixels in total, which is why it is known as 2MP, 4MP, 6MP, and so on resolution displays.

Haptics

The use of haptic systems for medical reasons has a variety of applications, including rehabilitation, medical teaching, and teleoperated robotic surgical systems.

Micromanipulation systems are used in various domains, including biology, electronics, microscopy, material sciences, and surgery, to perform tasks such as processing, stiffness, sensing, and conductivity testing.

A haptic teleoperation control method performs tasks related to micromanipulation. A specific mechanical design is employed for haptic device architecture, allowing the user to perform micromanipulation activities.

The development and design of a haptic teleoperation control system can regulate the activities of the user and allow for the monitoring of things at the microscale level.

The use of haptic technology in surgical operations is becoming increasingly important, particularly in minimally invasive surgical procedures (MIS), in which the haptic system is utilized in combination with a robotic-assisted arm in a bilateral teleoperation approach.

This enables the surgeon to perceive using the robotic arm, allowing to perform surgery with more precision and accuracy.

Role of Artificial Intelligence in Minimally Invasive Surgical Technologies

Artificial intelligence (AI) is a machine-to-machine imitation of human intelligence. Machine learning (ML) and deep learning (DL) are two types of artificial intelligence (AI).

Artificial intelligence (AI) in surgical robotic systems will provide businesses with new chances to make work safer, enhance productivity, and save people’s valuable time. AI is an attempt to reduce or perhaps remove the possibility of human error.

Surgical robotic systems with AI capabilities provide great precision in helping surgical procedures and eliminating variances that might harm patients’ health. The industry is primarily concentrating on the inclusion of AI for procedural autonomy, planning and operational guidance, and computer vision.

The intersection of artificial intelligence and surgical robots may be divided into three levels of intelligence:

1. Assertive Solutions: Artificial neural networks will enable the development of surgical data science solutions to increase surgical environment operational efficiency.
2. Guidance Solutions: Computer vision and machine learning will allow the creation of intraoperative guidance and navigation solutions, which will greatly enhance surgical results.
3. Autonomous Solutions: Deep learning combined with computer vision will improve robotic autonomy, hence improving surgical results.

To sum up, traditional technologies, surgical robotics systems, equipment and accessories, and services are a part of a global minimally invasive surgical systems market. The market for the technology platform is still expanding in terms of technical breakthroughs, and it is projected that this trend will continue for the next ten years.

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