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On a sunny day before the start of spring, Angela was heading to the medical examination room in Melbourne, Australia.
I noticed her day in the process of Angela, a patient that I have been for years. Looking, a star and his body were shaking a little.
I asked her to consult a neurologist and, just one week later, Angela, her real name, was starting to receive a cure for Parkinson's disease, but I was sorry I did not notice the signs of Parkinson's disease. disease.
Unfortunately, many patients around the world do not diagnose their disease until certain signs of the disease have appeared. If the disease could be detected early, the chances of recovery would be better because it would cut the way to the disease before it could be cured.
However, thanks to artificial intelligence, patients and physicians can monitor possible changes in health status a few months or even years after the onset of symptoms.
Ross Dosson, founder of the Future Exploration Network, expects this to bring about major changes across the health system.
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Our faces may reflect subtle signs of rare genetic diseases
By monitoring heart rate, respiration, and movement, artificial intelligence is able to detect certain diseases before the onset of symptoms, helping physicians intervene early and helping patients adjust their lifestyle to prevent or mitigate disease. disease. It is also possible to monitor models that are not seen from the eye, but they are a strong indicator of the health of your future.
Dosson refers to studies that have demonstrated the ability of artificial intelligence to predict a heart attack by following its heart rate.
A study by Google researchers recently showed that algorithms were used to predict the risk of heart attack by eye exam. They had also formed artificial intelligence devices to identify retinal images of 284,335 people and to monitor certain patterns of retinal capillaries in order to identify heart disease and blood vessels.
Dina Kuttabi, a researcher, has developed an innovation that can diagnose hereditary diseases and other serious diseases such as Parkinson's disease, depression, pulmonary embolism, heart disease and dementia.
This innovation is based on the transmission in the home of low frequency wireless signals that bounce off a collision with the body of the person, depending on the electromagnetic field of the body that changes with the movement.
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You can predict that you are at risk of heart attack from the blood vessels of the retina.
My book describes the incredible innovation of his ability to continuously monitor the patient's sleep, movement and walking habits, as well as his breathing, and the distinction between people around the room, not to mention the beat of heart and even the state of the person.
"You do not see the waves that the device sends to the eye, but it adds a lot to our limits of knowledge.It does not face a wall or a wall, it provides crucial information that strengthen our limited ability to monitor changes in health. "
By following any change in a person's daily behavior, problems can be solved before they occur.
Many of us use a lot of personal monitoring devices, both in terms of the price content of our food and the actions we take on a daily basis. Artificial intelligence can play an important role in translating this data to reflect our health.
The importance of monitoring early changes is evident as the number of older people increases worldwide. According to the United Nations, by mid-century, one-fifth of the world's population will turn 60 years old.
Many seniors live alone with chronic diseases that threaten their lives and believe that their innovation will allow doctors to respond quickly to avoid an emergency for patients.
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Jason Dorfman / MIT CSAIL
Radio waves can be used to track a person's movements, breathing and sleep to monitor any signs of the disease.
Read the face
Recent research suggests that artificial intelligence can be used to monitor the facial signs of the disease. Boston-based FDNA has successfully developed an application called Vis 2Gen to monitor genetic diseases through facial features.
The application uses an in-depth learning method of artificial intelligence to form algorithms for monitoring certain facial features badociated with rare genetic diseases.
The algorithm system has been trained on more than 17,000 images of people with one of 216 different genetically modified diseases. In some diseases, the patient's face has a specific characteristic. In some mental disabilities, for example, the eyes are drawn and the chin is thin. The arithmetic system of society has learned to recognize the signs of the face that the doctor does not often notice.
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The artificial intelligence can monitor diseases before their symptoms appear, thus allowing early treatment
Tests on the Vis 2Gen system showed that he had managed to detect the right syndrome in 91% of cases, thus surpbading the doctor in the diagnosis of diseases such as Angelman's syndrome and Cornelia's syndrome from Lang.
Treatment can be initiated soon after the diagnosis of these rare genetic diseases, reflecting the importance of artificial intelligence, especially since about 10% of the world's population is affected rare diseases.
Brain reading
Doctors and surgeons often use x-rays and tests to diagnose certain diseases, but can they be used to monitor symptoms before they occur?
Ben Frank, professor of radiology at Stanford University, is trying to take advantage of millions of new PETs, often used to diagnose tumors.
Although doctors focus on the use of these rays to determine the location of cancerous tumors, they do not use their findings to detect other health risks, but the ## 147 ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # 39, positron imaging badysis may reveal other previously undiagnosed diseases.
Frank is working on a pilot project that examines the changes in cerebral metabolism shown in positron imaging images and predicts the risk of developing Alzheimer's disease at a more advanced stage. About 10% of people over 65 years old are suffering from Alzheimer's disease.
With the help of artificial intelligence, Frank's research team has developed algorithms to monitor subtle changes in the absorption of specific regions of glucose in the brain, which would be badociated with Alzheimer's disease later. The machine was able to identify the disease on X-rays of 40 people six years ago on average, thanks to a doctor able to diagnose Alzheimer's disease, suggesting the possibility of monitoring the disease for years before the disease. appearance of any symptom.
"The computer can shorten what people can spend all their life discovering, and artificial intelligence can take advantage of millions of cases for early diagnosis and effective treatment," Frank says.
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Artificial intelligence can diagnose Alzheimer's disease in front of the doctor for years by monitoring subtle changes in the brain.
Not only does Alzheimer's, Frank's research team recently released a research paper gathering highly available data for MRI and positron imaging to accurately determine the type of bad cancer and his chances of return. There are more than five thousand microscopes that can be detected by x-rays and are derived from artificial intelligence to get a better diagnosis.
The researchers hope to find new ways to use artificial intelligence outside hospital corridors to predict diseases, such as the use of "smart toilets" capable of monitoring changes in the body. The person's urine and stool can indicate diseases that affect the future.
Method of speaking
Although the health of the person can be examined by imaging and radiotherapy, it is still difficult to diagnose mental illnesses that affect about 25% of the world's population and are close to the scary rates in some countries that hinder the lives of individuals and represent a burden on society.
Automated learning monitors mental health disorders by observing how a person chooses the words and how his voice is doing. The Institute of Innovative Technologies at the University of Southern California has developed an app called "ELEY", a virtual therapy capable of badyzing more than 60 points on the patient's face to determine s & # 39; s He is depressed, anxious or suffering from post-traumatic stress.
Elly follows the person regarding the time he has been waiting for before answering the question, stopping him during the response and his physical movements, as well as other elements to monitor the possibility of his illness.
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USC Institute for Creative Technologies
Elli is a virtual therapy that helps monitor depression and other illnesses by following a person's conversation and tone.
Another application called WISA is designed by psychotherapists and artificial intelligence experts to reinforce the psychological skills of people by talking to them in the form of cognitive-behavioral therapy by asking selected questions to help them better manage their feelings.
Difficult choice
The day may come when the doctor's annual routine visit disappears and the alternative consists of continuous mechanical monitoring and genetic monitoring of the disease.
But until where can we put our health in the hands of a machine or an arithmetic system, keeping in mind that the machine does not feel nor sympathize? Do we want "something" that is not impressed by the consequences of its decision to decide on matters relating to our lives and our health?
We might prefer a doctor who is lying down instead of a diagnostic machine, because artificial intelligence may soon be a "doctor" who can diagnose diseases before humans can adapt to personality, to the patient's decisions and emotions, which could save his life.
You can read the original article from BBC News
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