It is reported that at present, a new type of artificial intelligence newly designed by scientists finds patterns related to autism, schizophrenia and Alzheimer's disease by screening brain imaging data, and then finds people's mental health status. The biggest advantage of this kind of artificial intelligence is that it can predict and analyze before the disease symptoms appear. The artificial intelligence model first uses the brain imaging data of healthy adult testers for research and judgment, and then shows these brain imaging data to patients with mental health problems, so that the model can recognize subtle changes that cannot be detected by human eyes. This complex computer program was developed by a research team at Georgia State University in the United States. They pointed out that one day, the symptoms of Alzheimer's disease can be detected in people aged 40 in advance. Usually, the disease will not show the corresponding symptoms until around the age of 65. Early detection of symptoms of mental illness is very important, which helps patients receive treatment and reduce the pressure caused by mental illness. Based on functional magnetic resonance imaging (fMRI) technology, this artificial intelligence has studied and matched the brain imaging data sets of more than 10000 people. It is reported that fMRI can measure brain activity by detecting changes in blood flow. Once the AI system reads the basic fMRI data of the tester, the research team will input more than 12000 mental disease data sets of autism, schizophrenia and Alzheimer's disease into the system as the basic database. AI can easily identify the symptom patterns of the above three mental diseases based on the brain imaging data of the tester. The research team pointed out that the cost of using functional magnetic resonance imaging to identify mental diseases may be high, and the staff must carefully sort out the brain imaging data, but the use of artificial intelligence system significantly reduces the cost and time. Vince, one of the co authors of the Research Report and the founding director of trends center? Vince Calhoun said that even if we know from other tests or family history that someone is at risk of Alzheimer's disease and other diseases, we still cannot predict the exact time of the disease. At present, we use brain imaging to capture relevant disease symptom patterns to narrow the time window. These disease symptom patterns have appeared before the occurrence of the disease, and have a good disease prediction effect. In fact, using artificial intelligence systems to detect mental illness is not new. In April this year, the relevant media disclosed an analysis report of reddit user dialogue, a social media platform, to determine whether there are any problems. A team of computer scientists from Dartmouth College in the United States began to train AI models for analyzing social media text messages. The research team chose reddit, a social media platform, to train their AI models, because reddit has 500million active users, and they often discuss a lot of topics on a reddit branch network. The artificial intelligence system focuses on finding emotional intentions rather than actual content information in online posts, and makes longitudinal statistics to track and analyze the mental health status of platform users over time. In this study, the staff focused on people's emotional disorders - severe depression, anxiety and bipolar disorder. These disease symptoms are unique emotional patterns that can be tracked and analyzed. The staff checked the relevant data of users who claimed to have mental diseases and compared it with the data of users who did not have any known mental diseases. They trained the artificial intelligence model to mark the emotions expressed in users' posts and recorded the emotional changes between different posts in the form of a matrix. A post may be marked by AI system as "happy", "angry", "sad", "fear", "no emotion" or multiple emotion combinations, and the matrix shows how likely it is for users to change from any state to another state, such as the neutral state from "angry" to "no emotion". The research team explained that different emotional disorders have different patterns of emotional transformation characteristics. By creating an "emotional fingerprint" for users and comparing it with the established characteristics of emotional disorders, this pattern can detect the signs of mental illness. In order to verify the detection results of artificial intelligence, the staff let the artificial intelligence system detect the unused network post information during the training period. The test results show that artificial intelligence accurately predicts which users may or may not have these obstacles, and the artificial intelligence system will continue to improve and upgrade as time goes by. (Xinhua News Agency)