The field of medicine is no stranger to robotics. With a plethora of collateral advantages, watching a robot perform surgery on a human being is just like all everyday miracles of technology. The more it’s done, the more it starts to look like an inevitable natural wonder. To provide students with hands-on training, plenty of training programs are beginning to include virtual and robotic scenarios without putting their patients at risk.
Robotics has already started exerting their influences on certain niches of medicine thus ultimately making them change for good. And will all the advances in medical robotics here is how robotic is taking over and how these niches stand out above the rest.
For medical imaging to be a success, it requires more than just the equipment used by medical practitioners. It also involves the ability to interpret the information seen in the images. Medical images feature some of the most information-dense pieces of data in the medical field. Medical imaging can also reveal so much more than what a basic visual inspection can.
Researchers and engineers in the fields of robotics and medicine have teamed up to design robots and, more specifically artificial intelligence programs that help health practitioners interpret medical images more accurately and efficiently. This is done by allowing a basic or AI machine learning program to study the medical images. It allows medical researchers to find patterns as well as make more accurate diagnoses more than ever before.
The first robot-assisted surgery was documented in 1985. It was used for a neurosurgical biopsy. This robot-assisted surgery led to the use of robotics in several other similar surgeries, both traditional and laparoscopic operations. However, the Food and Drug Administration (FDA) didn’t approve robotic surgery tools until the da Vinci Surgery system hit the market in the year 2000.
By 2023, the robot-assisted market is expected to grow steadily and possibly even beyond. However, the cost of equipment is the one thing that might stand in the way of this progress and growth. Therefore, small practices may be prevented from buying the necessary devices because of the initial investment.
Drug discovery is a long process that is often tedious and includes years of assessment and testing. But with predictive algorithms, artificial intelligence, and machine learning, the process can be hastened.
Imagine a world where researchers input into the computer the type of medicine they are trying to make and the symptoms the rug is meant to cure and let the machine do the rest. The good news is, all this may be possible one day with robotics.
This isn’t a perfect solution yet because these medical systems need huge amounts of data before they can begin making predictions or decisions. Researchers can take the first steps in setting up a functional database by feeding data into the cloud where it can be accessible to these programs.
Benefits of AI programs in medicine
AI programs offer a plethora of benefits to the field of medicine. These programs have the potential of seeing medical connections that human doctors and researchers would never have thought of. Even though people can take those leaps, the chances are much lower, and it might take decades assuming it happens at all. To simply put it, human beings don’t have the capability of processing the massive amount of data that computers can.
Medicine is not a field where researchers are worried about robots stealing jobs. It is quite the opposite because they are rooting for more robots to become tools that are commonly used since they can help in improving surgical outcomes as well as patient care. Even though a human surgeon may have great intuition, it can never compare to the data-processing capabilities of a machine learning algorithm or the steadiness possessed by a pair of robotic hands. To learn more about robotics in the field of medicine visit www.universal-robots.com.