Robotic Surgery Approach in Modern Science

Minimally invasive surgery should have less operative trauma for the patient than an equivalent invasive procedure. It may be more or less expensive. Operative time is longer, but hospitalization time is shorter. It causes less pain and scarring, speeds recovery, and reduces the incidence of post-surgical complications.

The Minimally Invasive Surgery (MIS) by returning some of the lost faculties of surgeons, such as dexterity, improved 3-D visualization of the surgical field, and better hand-eye coordination. In addition, MIS procedures with robotic assistance can lead to a shorter hospital stay, reduced trauma, faster recovery times, and lower health-care costs.

Some people will ask what about risks? Well , risks and complications may cause by minimally invasive surgery are: Anesthesia or medication reactions, Bleeding, Infection, Internal organ injury, Blood vessel injury ,Vein or lung blood clotting and Breathing problems.

The robot extends even the most skilled surgeon’s capabilities beyond what is humanly possibly – allowing for less invasive, more precise procedures. This robotic system allows doctors to see inside the body in three dimensions, and operate using tiny precision instruments that we can maneuver by using our hands.

The surgeon uses hand controls to guide the other robotic arms, which hold laparoscopic surgical instruments. A robot can accomplish what the human surgeon cannot because of its ability to mimic the human hand within a small, contained space. One of the robotics medical instruments (EndoWrist) transforms the surgeons’ wrists, hand and fingers into tiny instruments.
Finally, because minimally invasive surgical procedures cause minimal tissue, skin and muscle damage, recovery time is reduced and the patient can return to normal activity more quickly.

End.

Dr. Kayyali, Researcher . Prof. in Image processing and computer vision Ph.D,M.Sc (computer image processing) IEEE and CIPPRS member, British Computer Society Chartred Fellow BCS, Founder of Kayyali edge detection, a new theory in segmentation and edge detection