The world of medicine has been transformed in the recent years thanks to the technological advancements that have been made. Among these innovations is the integration of Artificial Intelligence (AI) in medical robotics which has completely revolutionized how healthcare professionals interact with their patients. AI in medical robotics is the use of algorithms and computer programs to operate medical equipment or robots that can perform tasks independently of human intervention. It is currently being used in various fields of medicine such as neurosurgery, cardiology, and orthopedics, just to mention a few.
The Benefits of AI in Medical Robotics
The incorporation of AI in medical robotics has facilitated the creation of a wide range of advanced medical devices that have proved beneficial to both patients and medical professionals. There are a myriad of advantages that AI in medical robotics offers.
Firstly, AI in medical robotics has significantly reduced the number of errors in surgeries. Since robots are not subject to the same fatigue and blood and chemical imbalances as human beings, they are able to perform repetitive and precision procedures accurately and consistently. Additionally, robots can access areas of the body that are difficult to reach for human beings, such as deep-tissue or organs, making medical procedures that were previously impossible now possible.
Secondly, AI in medical robotics has facilitated the customisation of treatment procedures for individual patients. The robots can analyse data associated with a specific patient’s medical history and has the capability to make recommendations based on the individual needs of each patient. By generating a 3D image of the patient’s body, the robot can identify the exact location of medical issues, resulting in more accurate diagnoses and precise treatments as a result.
Thirdly, AI in medical robotics has the capability of reducing post-operative complications. Since robots are more precise at performing procedures, the recovery time is reduced significantly. Additionally, AI in medical robotics allows for easier access to technology, such as teleconsultation and remote diagnosis, enabling healthcare professionals instant access to other specialists worldwide, which can be especially beneficial in rural or under-served areas of healthcare.
Use of AI in Medical Robotics Real Life Examples
One real-life example of AI in medical robotics is the da Vinci surgical system; a robotic surgical system marketed by Intuitive Surgical that is designed to facilitate complex surgical procedures. da Vinci allows the physician to carry out highly complex surgeries with minimal surgical intervention, thus allowing the patient to recover much faster. In orthopedics, AI in medical robotics has created robots that can make more precise incisions in bone. Additionally, surgeons can now replace broken bones with metal plates manufactured by 3D printing or customised implants designed by AI in medical robotics systems, with ultimate goal of reducing the chances of further injuries.
AI in medical robotics has been also used to create medical equipment, such as insulin pumps that are used to control the release of insulin into the bloodstream of diabetic patients, and artificial limbs that are capable of detecting the intentions of the patient’s mind and do the controlled actions expected of them.
Where Does AI in Medical Robotics go From Here?
As AI in medical robotics continues to advance, it is likely that its use will expand into areas beyond surgical procedures. AI in medical robotics can be integrated with medical wearable devices to monitor a patient’s health, vital signs and other activities from home which are then transmitted to healthcare providers for proper diagnosis and treatment. AI in medical robotics gives the opportunity for early diagnosis, which is important in the treatment of common diseases such as diabetes, cancer and heart disease.
AI in medical robotics technology are also being used to create autonomous robots that can independently manage healthcare facilities. Mobile, land or airborne robots, can be used to transport, and distribute medication, supplies and other equipment while also being able to clean, monitor patients and assist in surgical procedures.
In conclusion, the integration of artificial intelligence in medical robotics has brought tremendous benefits to both patients and medical professionals. With AI in medical robotics, there is a higher accuracy in procedures, less post-operative complications, accelerated recovery and reduced mortality rates. This trend is expected to continue as medical professionals look to integrate AI in medical robotics and continue finding ways to improve healthcare. With AI in medical robotics, healthcare facilities will see an improvement in efficiency, affordability and the quality of healthcare services which will be to the great benefit of patients worldwide.