The heart disease of the high IQ group, can AI be cured by looking at it?

On the day of the Double Eleven, which everyone was immersed in shopping spree, NetEase News reported that a hardcore Juventus female ID with the ID of "Juvent's locker room cleaning aunt" died of suicide due to depression. On the 10th of last month, Hou Jingjing, a doctor of chemical engineering at Zhejiang University in 2016, left a suicide note in a circle of friends. He wrote: I don’t want to pretend, I don’t want to lie anymore. I just want to be myself. It’s really hard... just before Soon, on October 18, Tian Miao, a graduate student at South China University of Technology, also ended his young life. With the tragedy of this scene, the group of depressed patients has received more and more attention.

According to the World Health Organization, depression is currently the fourth largest disease burden in the world. In China, the incidence of depression is about 6%, and the number of depressed patients diagnosed at present is about 30 million. According to the survey, less than 10% of the 30 million people with depression have received professional assistance and treatment. At the same time, there are still quite a few patients who are not aware of their own depression and have not been treated. What are the advantages of AI over traditional psychological counselors for depression in modern society?

Compared to psychologists, we are more willing to open up to the machine.

It is not difficult to find that the “depression” is being extended to more and more high IQ groups, and most high IQ groups are reluctant to admit that they are suffering from depression, are unwilling to talk to people around them, and are less willing to take the initiative. Go to the doctor. For example, about 30 million people with depression in China, 80% of them do not receive standard treatment, most of them are more inclined to write their inner emotional state in the tree hole of diary, space message board and social networking site. Studies have shown that people are more willing to confide with a chat robot, people face more intense grief in the face of the machine, and more do not care about telling secrets. Especially for some well-educated patients, they are not willing to face the fact that they are sick, and they are even more reluctant to dismiss social roles to consult psychologists. In the face of high psychological counseling costs and unfamiliar interpersonal communication, people may be more inclined. Yu confided his heart to AI counseling.

Compared with psychologists, AI is more accurate than emotional communication.

At present, in the process of our psychological counseling consultants, even professional psychological counselors sometimes have difficulty maintaining the absolute neutrality of values. The in-depth exchanges between consultants and visitors will have an impact on the relationship between the two sides. Before the diagnosis, the patient is usually given some test questions, and then the diagnosis is made according to the experience, and the psychologist's lack of experience is prone to misdiagnosis. AI uses deep learning to simulate human brain for analysis. It is not limited to a single data training, and extracts the most characteristic information through massive data. This view has also been confirmed. In August 2017, Professor Andrew Reece of Harvard University and Professor Christopher Danforth of Vermont University scanned the photos of their contributions under the social account (Instagram). The "AI (Artificial Intelligence)" program of the "sickness" symptom function is analyzed, and nearly 70% of the high-accuracy diagnosis can be performed. This result was published in the electronic version of EPJ Data Science, published on August 7. In past research data, the efficiency of community doctors in correctly diagnosing depression was about 42%. This AI program scans Instagram submissions to correctly diagnose depression with 70% efficiency, which is higher than community doctors. Therefore, AI psychological counseling is not affected by emotions, culture and life background in communication with human beings, and it does not impose its own personal experience on visitors. It can achieve absolute neutrality in psychological diagnosis.

I hope that the AI ​​can predict depression and make suicide nowhere to escape.

The intelligent relativity theory is summarized. At present, AI mainly predicts depression through the following ways.

1. Hope, AI judges personality through eye movements. Researchers at institutions such as the University of Stuttgart and the University of South Australia use state-of-the-art machine learning algorithms to demonstrate the relationship between personality and eye movement. Studies have found that eye movements can show whether a person's personality is outgoing or introverted. The algorithm software can identify four of the "big five personality": neuroticism, extroversion, pleasantness, and conscientiousness. There is a kind of “smiling depression” in depression that is the most easily misdiagnosed and most dangerous. These patients generally have a smiling face and sunshine. It is difficult for general counselors to diagnose through facial emotions. In society, such people are also very easy to be surrounded by people. ignore. When AI can judge personality through eye movement, AI diagnoses hidden "smile depression" may be more advantageous than psychological counselor, AI can more accurately determine eye movements.

2, smell, AI predicts depression based on voice characteristics. Researchers at the University of Southern California have developed an artificial intelligence tool called SimSensei. SimSensei can identify specific speech characteristics from people with depression and thus assist in diagnosis. During the face-to-face consultation, the patient's voice characteristics are listened to and the patient's voice is recorded. People with psychological or neurological disorders will reduce their vowel pronunciation, which may not be clear to the psychiatrist. Based on the size of their vowel pronunciation, SimSensei speculates that the patient has depression. Relatively speaking, the psychiatrist will face the disadvantage of not being able to pronounce clearly.

3. Q. Compared with traditional psychological counseling, AI can skip this question directly. Traditional counseling generally gives specific questions to the test, and most people are very easy to be guided or because they don't follow the inner real thoughts in the psychological clinic. Relative to these shortcomings, AI has shown great advantages. Researchers at the Massachusetts Institute of Technology (MIT) have built artificial intelligence models that can judge people's natural conversations and writing styles without having to answer specific questions. Suffering from depression. The traditional way of asking questions sometimes affects the patient's original emotions because of the doctor's own guidance, and the traditional questioning method will set specific problems, which is not conducive to individualized communication. The success rate of this model for identifying depression is 77%, which is much higher than the diagnostic rate of traditional consultants.

4. Cut, AI analyzes suicidal tendencies based on massive data. At the end of January this year, a woman from northern Argentina wrote this on her Facebook: "You can't go on like this anymore. It's time to say goodbye." In less than three hours, a group of medical staff arrived. The woman's home and saved her life, and all of this stems from AI technology. Facebook's suicide warning system is based on the use of AI technology to research massive data, such as electronic medical records, social media content, patient audio and video recordings, to find common points of suicidal tendencies, and then predict what new may be. The patient will commit suicide.

In the treatment of depression, where is the imagination of AI?

In the perspective of intelligent relativity, even though AI currently cures depression is not realistic, AI can play more value here.

1. Accompany and listen, be the big white around you. The launch of the chat robot Woebot in March this year immediately caught the attention of the world, a robot based on cognitive behavioral therapy to help people get out of depression. This chat robot collects a large amount of emotional data and discovers patterns that are not easily noticeable by humans. It is available 24 hours a day, and is more like the “big white” that people have been expecting. Because psychological problems have strong mapping in language, this creates an application space for semantic understanding and understanding technology. It is very effective to obtain mental state information through analysis of language, and it can provide better diagnosis through data analysis and prediction. Program. On the other hand, AI-driven services can also better guide psychotherapy, and can replace psychological counselors to some extent. The most important point is that you can accompany you anytime and anywhere. Compared with traditional psychiatrists, people are more willing to chat with chat robots, which greatly improves the efficiency of psychological counseling.

2, the application of treatment for postpartum depression, the hope of mothers around the world. For the mother, the role of the first mother is changed, so that it faces two major problems of self-health and parenting. It has conflicts and maladaptation to the role of the mother. It cannot overcome the pressure of being a mother. Depression. A paper appeared in "Telemedicine and e-health" about predicting postpartum depression after machine learning. The three authors collected large amounts of maternal data from seven Spanish hospitals with the aim of:

(1) Establish a risk stratification model for postpartum depression;

(2) Develop an app where the target user is a woman who is eager to understand her emotions.

Maternal prone to postpartum depression is largely due to lack of communication with family members, especially the lack of support from the husband. If AI can help the mother to predict the risk early, the family can also detect maternal emotions in a timely manner, actively support, and treat depression early. , can control the development of the disease. Although there are no such startups in China yet, the number of postpartum depression patients in China is between 1.2 million and 6.2 million per year. The market size is on the order of one billion yuan. I believe that with the market demand, the maternal and child market will gradually The growth of artificial intelligence robots for postpartum depression will also emerge.

3. The treatment of reactive depression has always been a necessity for the military. For refugees and military personnel, after a major trauma, a large number of people with reactive depression are prone to occur. However, for such people, the work of psychological counselors is particularly difficult to carry out. On the one hand, the military has always been a tough style, a resolute personality, when they encounter sadness, they are never willing to spit out to others. On the other hand, for refugees, the places where refugees are located are often confusing and often do not help psychologists to carry out their work. The emergence of AI counseling has become unstoppable. At present, the University of Southern California has launched an AI psychotherapist with anthropomorphic image, facial expressions and body language. The AI ​​analyzes the facial expression changes of the soldiers interviewed, as well as the soldier's semantics and voice to diagnose whether there is reactive depression. A Silicon Valley startup called x2ai has also launched an AI counselor for Syrian refugees, already in use in Turkish refugee camps. And our country has a large number of troops and frequent accidents, such as the previous Tianjin coastal fire, the Shandong flood disaster, and the recent "mangosteen". China's natural disasters are frequent, and the psychological problems of the military should also be protected. The use of AI to treat reactive depression, China's psychological counselors are in short supply. It is understood that only large military units are equipped with psychological counselors, and the military is generally stationed in remote areas. In the frontiers, compared with the psychological problems of the urban army, the military in the remote frontiers needs more, and if Chinese companies can develop products in this area, they do not have to consider the issue of paying orders.

4, treatment of troubled insomnia depression, AI has a big role here. One of the biggest problems that plague depressed patients is insomnia. The incidence of depression in insomnia is 3 to 4 times higher than that of ordinary people. One of the main symptoms of depression patients is insomnia. How to improve insomnia and reduce the incidence of depression is particularly important. Currently, MIT is looking to use new methods such as AI to monitor and improve sleep habits. One of them does not require any invasive wearable devices, and only one sensor that uses radio waves translated by machine learning algorithms can monitor the sleep phase. This tool has an accuracy of 80% in identifying the sleep stage. The AI ​​algorithm analyzes relevant data and translates measurements of factors such as pulse and respiration into major sleep stages, including mild sleep, deep sleep, and REM sleep. This will be a great gospel for depressed patients who have been insomnia for a long time, effectively improving the cure rate of depressed patients.

Despite the vastness of AI, there is still ethical discussion on admission.

There are still many scenarios in which AI can be expected in patients with depression, but it has also led to discussions about ethical issues. For example: accepting a large amount of negative data, whether AI will give a negative diagnosis and treatment plan. AI is currently only based on big data for deep calculations, but when AI really becomes a counselor, it will accept a large amount of patient data. At present, AI has not had the same love and hate as human beings, but if you accept a lot of negative data, there is no such thing as Patients with depression will not give a negative diagnosis and treatment plan, know that depression drugs have great side effects for normal people. Whether AI will reveal patient privacy. When the country has not yet had a similar law, how can the patient's privacy be safely protected and whether a privacy protection agreement can be signed with the user. However, I believe that in the near future, AI will definitely make a difference in the treatment of depression after breaking through these barriers, and better benefit the depressed patients.

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