Showing posts with label amazon. Show all posts
Showing posts with label amazon. Show all posts

Saturday, December 1, 2018

An AI (Artificial Intelligent) Doctor's Appointment on January 5, 2050, with Mitron

Rex had just returned from a vacation to the moon a few days earlier. The doctor had already informed his personal assistant "Mitron v" (an AI assistant) that there had been a modest increase in the white blood cell count. Super robot grade 5 and attached to Rex's circulatory system, "Mitron v" was the belt Rex wore around his wrist. It would monitor his blood parameters and assist him in coordinating daily tasks with other AI gadgets, such as his automobile, mobile phone, and so on. Each person had a unique Mitron based on his or her status. This has been tested for the last five years on other humans, and the higher grade is currently being used for significant beings like Rex.
As soon as the blood showed early myeloblast (cells creating White blood cells) with some malignant alterations, Rex was concerned about his future health concerns. Rex was experiencing a lot of stress due to the fact that they were in their infancy and would not have been spotted by any machine or human 30 years ago. After learning about these changes from the doctor last year, he had already quit smoking. It wasn't until his parents made him put on the diagnostic patch that he realised how much work went into making it as intricate and effective as it was. It was downloaded into Mitron (the super robot) and an AI doctor was using it to constantly monitor vital humans. Last year, Amazon Global made it mandatory for all employees to have Mitron and be constantly monitored. Complex data analysis was extremely difficult, therefore the corporation was extremely concerned about the health and well-being of its employees and the success of their progeny. To get a job at one of these firms, you had to be able to read, analyse, and comprehend vast amounts of data generated by billions of customers every second. A select few were chosen by the company, and Rex was one of them because of his expertise in data analysis and his strong CHRM2 gene. In contrast to his friend Sam, who had been a member of a universal income organisation, these were the few people who were still employed.
It was recently determined by the CEOs of fifty large corporations (collectively referred to as the "Digital Rulers") to provide free health insurance to everyone in the world and to place everyone under the constant supervision of Mitron IV. It was up to Rex, though, to decide whether or not he wanted to follow the advise of the AI doctor. Since most human doctors were no longer allowed to deal directly with patients in hospitals around the world, he had little choice but to accept the position. To ensure that everyone receives the best possible care, this choice was made. As a part of a monitoring group, doctors would only be required to work if the AI was having trouble with its analysis of the disease or with its therapy. In contrast to the Human Doctors, who had no employment but could use the majority of the facilities, those who signed up for this programme were ecstatic.

He was reminded of the doctor's appointment time by a beep on Mitron. Mitron had instructed the car to park itself, and it had done it. In order to be on time for his appointment, Rex was escorted to the hospital by an AI nurse in a special wheelchair cum stretcher automobile. "Mitron" informed Rex of the newest blood results as he approached the doctor's cabin. His white cells had returned to normal thanks to "Mitrontreatment. "'s Because of the unexpected weather change, the AI doctor had previously despatched 605.09 mg of Acetaminophen, which was termed CROCIN OR TYLENOL with AI Mailman when the white cell count had risen. The dosages were based on the patient's weight and the efficacy of the medication (dose calculated as per the weight and the chemical and hormonal balance per individual at that time). They were only available from AI Pharmacist and might be prescribed by an AI doctor. To put it another way, because there were no more medical schools online Humans enrolled in virtual classes taught by AI doctors with tests administered by AI doctors, and the majority of them passed. Most people had a hard time getting good marks. The Digital rulers selected the winners.

Rex was greeted by Ted 0.2211 (the Ai Doctor) in the room. When he went to Rex's Condo, he found the information. Rex's pupils dilated slightly and his face swelled by 3.5 percent, indicating that he was nervous. His cortisol levels had also increased by 10% throughout this time period (stress hormone). As evidence from the Condo, he was able to learn that Rex had similar episodes when on vacation when he was thinking about his identical sibling. Rex was told to relax by Ted. He imitated his mother's voice because he knew Rex would settle down when he heard his mother's voice. He listened to his favourite music, composed by him, to help him relax. Rex waited for Ted to arrive so he could discuss the possibility of removing a cancer gene from Ted's DNA. It was the one that the technogenecist wiped off before his brother was born.

An artificial womb was used to inseminate high-ranking individuals following a thorough genetic examination. Since Ted was already aware of Rex's thoughts, he told his AI team to get to work, gather additional data, and come up with a solution. Genes that cause stomach cancer had been passed down through Rex's parents. Even though science had made advances by the time Rex's sibling was born, researchers were able to remove the dormant gene, but they were unable to do so once Rex was born. A gene that had been latent for so long had the potential to cause malignant mutations by the age of 35, and Rex was only 18 years old. It was the CEO's intention for the AI team to make a breakthrough with Rex because he was one of the world's most important persons. A total of 1530 human trials had failed, resulting in the disease flaring up and early deaths. The global organisation allowed a trial on 1 million people, with a casualty rate of up to 10000 people who were on universal pay scale systems, to proceed. Enrolling in the programme meant that a person no longer had to worry about finding a job. The corporation would pay them a set quantity of bitcoins each month in exchange for their data. At a discounted charge, they could travel, eat, and enjoy the rest of the world's delights.

Rex's tiny shifts Blood had a 50% probability of developing cancer during the course of its 60-year existence. When it came to a very significant human being in 2050, this was simply not acceptable. The corporation hoped that he would live longer. There had been a delay in research, but they would still be able to delete the hazardous gene from Rex's DNA at some point. Ted made Rex comprehend this. To be on the safe side, Ted gave him an additional dose of mild chemotherapy based on his weight. Rex was baffled as to why Amazon Global's technogenecist was taking so long compared to those in Shenyang. Perhaps because of the mega-giants' internal competition, he couldn't solve the situation. Shenyang, a Chinese company, had already successfully tested the technology. Shenyang hoped that by joining the company, Rex would be able to avoid the risk.

Rex was afraid that Mitron would find out about the plan, which would be a problem for him. A year or two of deliberation finally convinced him to put the Mitron in because he had no choice but to. In light of Mitron's warning, Rex sighed inwardly and waited for the breakthrough from his AI team. He was discharged from the hospital. Rex's assistant, Mitron, connected him to Amazon's AI CEO, who assured him that he would recover soon.
This may sound like something out of a science fiction film, but it is a very real threat that will come to bear on the human species at some point. Whether or not it's exactly the same, AI is likely to have a significant impact on our lives. The rate at which technology advances is an indication of the human capacity to deal with complicated tasks via machinery. Until recently, the complicated and fascinating field of medicine was only in the hands of a few individuals like myself, but this will soon change.
There is a lack of doctors and nurses in many countries, including industrialised ones like the United Kingdom. Some examples include eye problems, which might be difficult to detect because of a lack of educated doctors. In the future, AI may be able to assist human practitioners in enhancing their abilities. In addition, medical professionals can devote more time to treating patients now that the diagnosis has been made.
Deep Mind, Google's artificial intelligence engine, was recently used to identify eye disorders. A fully-fledged artificially intelligent doctor may be just around the corner, given that AI is being used to diagnose cancer and that AI-driven smartphone apps are already available that can discuss symptoms and triage patients.

Let's look at an example: In June, Babylon Health claimed that its AI chatbot could reliably detect medical issues just like a doctor. The chatbot developed by the company performed better than the industry average on a practise exam designed for doctors.

Babylon's chatbot scored 82% of the questions correctly, compared to the 72% average for human doctors.

There is a finite set of rules and possibilities that govern a game like Go, no matter how complicated it is. By examining these principles, a computer programme is able to analyse all possible conditions and results in an extremely efficient manner. As a result, it will be able to perform these tasks at an unprecedented level of speed and accuracy.

Another type of challenge that computers excel at is discovering patterns in data. These algorithms are able to detect and fit statistical models to big datasets (or evidence) and identify patterns in the data.

These algorithms are able to see patterns in these datasets that a human doctor would not be able to see. This is due to the fact that tiny, regionally distributed, and complex changes in data points frequently go undetected by visual inspection.

It's difficult for the human senses to do this task. It is possible to build algorithms that can outperform human doctors at specific tasks if the tasks are represented by massive data and rules. That's a good start, but...

However, a doctor's intelligence is significantly more complex than simply recognising patterns and rules. When making decisions and assessments, one must use an entirely new set of mental processes.

When making judgments, humans don't just rely on data, rules, and patterns to guide them; they also use pre-formed observations and knowledge gleaned through first principles, reasoning, planning, and creativity.

In spite of their speed and accuracy, these algorithms have no grasp of core medical ideas or the ability to analyse new scenarios. They may be able to develop hypotheses, but they may not have the ability to prioritise and test them in certain advanced AI implementations.

These AI limitations will necessitate the need for a doctor's intelligence and intuition in the years to come. Currently, AI in healthcare is only capable of accomplishing one thing: improving patient outcomes. Don't undermine the capacity for human reason. It's a joint venture.

To reach to this point, there are considerable obstacles to overcome. Data appears to be both a solution and a hindrance. The more data a machine learning system sees, the better it gets. However, concerns about the privacy and biases inherent in this data remain. Algorithms and partnerships perform better when there is a wider range of options available.

Because more trust is expected by customers and healthcare professionals, more data will be made available for research and development.

Clearly, machines will be able to execute monotonous tasks better than doctors. A more cooperative relationship with an AI doctor will be necessary in the future, rather than a defensive or confrontational one.

In the near future, doctors may be expected to define goals for these machine agents, create them by modelling the basic knowledge, formulate a hypothesis, conduct evaluations, and be the final authority in judgments and suggestions made by AI.

To produce the outcomes and suggestions for better diagnostic and treatment strategies, AI will conduct the computationally hard job that it is best at. In comparison to humans, machines are much more efficient at collecting data and making adjustments. Contrary to the unpredictable nature of humans, machines are programmed to adhere to certain norms and patterns.

Human emotions are one of the most important aspects of a doctor's consultation, yet current AI is unable to respond to them. There were some who doubted it and cast aspersions, but it has become an essential and irreplaceable member of our family.

Medicine and diagnosis aren't the only aspects of health care. For the doctor, it's important knowing that your patient will be able to handle chemotherapy and that their family will be able to provide them with the support they'll need during this difficult time. There is currently no software that can replace that.

We may not be able to do this in the near future, but I believe that if doctors and AI engineers work together we will be able to give better and more universal healthcare. It doesn't matter if it reaches that level, doctors will be able to adjust to the new position in the future.



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