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Blog: How to make robots and artificial intelligence join forces to help us treat diseases


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By better understanding complex analytical techniques such as machine learning, it is possible to greatly improve the performance of robot systems in industries such as healthcare.

In the future, if robots and artificial intelligence can join forces, this will make everyone’s life easier and more convenient.

In this remote Utopia, smart factories with flexible production lines will be able to produce highly customized products in the most timely manner.

At the same time, in the field of healthcare, the highest level of treatment and care is provided to people with automation technology that was previously unimaginable.

It all sounds too good and unbelievable? Don’t believe it. The integration of several important technologies has made this scene far less incredible than you might think.

This optimistic view stems from the growing recognition of the complementarity between robots and artificial intelligence. The combination of the two will have enormous potential in the industrial sector.

However, before exploring some exciting applications, we first need to understand some background. Traditionally, robots have been considered a reactive work agent device that requires programming and then follows a defined set of commands. However, the broad feature of artificial intelligence is the development of intelligent computer systems to perform tasks that typically require human intelligence to complete. Its application means that robots can “think” on their own. This is where the combination of the two is exciting.

Specifically, artificial intelligence includes a sub-area called “machine learning,” which involves the use of statistical and mathematical optimizations to discover patterns by touching large amounts of data. The algorithm then builds a model from the accumulated data to perform prediction or decision-making functions without explicit programming to perform the task.

Not only that, but inspired by the structure of the brain’s neural network, these algorithms can be layered according to different levels of complexity. This technique is called deep learning, which enables more advanced pattern recognition, so it can solve more types of problems.

Use of the robot

What does this mean in real-world applications? Yes, we have seen artificial intelligence and its various sub-areas being used to develop a range of applications, including virtual assistant applications such as Amazon Alexa and Apple’s Siri. The combination of robotics and artificial intelligence in the industrial arena is causing exciting embarrassment, and this application is increasingly affecting all walks of life.

A recent report by PricewaterhouseCoopers (PwC) pointed out that health care is one of the main potential applications, and the report points to several convergence trends in the field that are suitable for artificial intelligence. First, an aging population means that the world wants to reduce health care costs. At the same time, the latest advances in sensors and wireless connectivity technologies and the upgrade of IT systems mean higher levels of medical data are now available. This makes data acquisition more autonomous, and patients can master more of their own medical conditions than ever before Android Recording.

According to Price water house Coopers, these factors mean that the medical industry is fully capable of leveraging the ever-increasing capabilities of robotics and artificial intelligence to adopt more automated systems that can begin to assist or make their own lives more personally. Big impact decision making. Ultimately, artificial intelligence can be used for inspection, diagnosis, treatment, and patient care to help clinicians speed decision making and even perform certain tasks.

So what are the initial uses of these technologies? In terms of inspections, a recent IPPR policy think tank pointed out that automated systems with artificial intelligence can play a huge role in reducing the burden of repetitive and administrative tasks, freeing staff and giving them more time to Patients provide direct treatment services. There are a variety of activities that should be done by digital technology, including medical record communication, appointments, and prescriptions.

The report also predicts the combination of robotics and artificial intelligence systems to provide assessment and treatment services to patients and support future situations in clinical practice. For example, patients who come to the hospital can be digitally streamed by an automated assessment kit with an artificial intelligence system (including machine learning) that can even diagnose diseases such as pneumonia, breast cancer, skin cancer and eye diseases, and diabetes. Precursory symptoms, etc.

More notably, robots are likely to replace patients with doctors for surgery. Currently, a telesurgical robotic system consisting of a surgeon’s console, operating arm, monitoring system, and software has been used to assist doctors with minimally invasive surgery, performing knotting, loading screws, and stitching with greater precision and flexibility than manual. Line and other tasks. The Da Vinci robotic surgical system, manufactured by California company Intuitive Surgical, is perhaps the most famous example of the technology, with more than 4,500 of these robots serving around the world.

In fact, a report by Allied Market Research pointed out that the global market for surgical robots in 2017 was $56.294 billion and is expected to grow to $98.837 billion by 2024. As patients become more willing to accept the concept of automated surgery, their range of applications will expand rapidly in the coming years. In the United Kingdom, for example, CMR Surgical recently introduced the Versius robot. According to the company, this machine is smaller, more flexible and more versatile than existing robots, so it can be used for more types of surgery.

Thinking robot

In the long run, the use of artificial intelligence robots will really accelerate the application of automated surgery. This is still a relatively new field of research, and the first such device has only recently emerged. For example, the plastic surgeon at the Maastricht University Medical Center last year used the “robot hand” to perform the world’s first ultra-microsurgery, which can suture blood vessels from 0.3 to 0.8 mm on the patient’s arm. The robot was developed by Microsure (split from the University of Eindhoven) and Maastricht University and controlled by a surgeon whose hand movements were specifically analyzed and converted into amplitude Smaller, more precise movements to be done by the robot’s “small hand”. The device also utilizes artificial intelligence to stabilize the various tremors in the surgeon’s movements to make the procedure easier. Looking ahead, surgeons are expected to use this type of artificial intelligence robot in performing other types of complex microsurgery, such as tissue repair.

At the end of the surgery, the robot can also play a role in postoperative care. According to the IPPR report, there is a huge room for development of “bedside robots” with artificial intelligence speech recognition software. This robot can help patients with food, transportation and rehabilitation. The robot and its digital system will enhance communication with patients and relatives. Using biosensors, it will be able to remotely monitor clinical observations and alert doctors to respond when patients have sepsis and other conditions that may endanger their lives.

In addition to medical services, the so-called “care robot” allows older people to have more abilities to make their lives better, longer and more fulfilling, while at the same time improving social care and enabling people to maintain closer social interactions with relatives and friends.

Realization potential

It is clear that robots and artificial intelligence are having a significant impact on the entire healthcare industry, from diagnosis and treatment to rehabilitation and care. So the question is: Where will the next application area be? Can this technology be used in some related fields such as fitness and lifestyle and play an important role? The market for wearable devices such as Fitbit has grown exponentially in recent years, and today, with the increase in artificial intelligence understanding and machine learning capabilities, such devices are increasingly being used to monitor some predictable key bodies. Indications to detect early at the beginning of a health problem and provide recommendations for treatment options. In this case, medical experts may no longer need to be diagnosed, and artificial intelligence will be able to grasp the diagnostic model and make a diagnosis from the data analysis.

In short, robots and artificial intelligence are expected to make great strides in a range of applications. Moreover, the true potential of these two exciting complementary technologies may be far beyond our imagination.

Source: Artificial Intelligence on Medium

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