Artificial intelligence ... a promising tool in early detection of dementia symptoms

Artificial intelligence has become one of the most promising instruments in the field of medicine, especially in the diagnosis of neurological diseases such as dementia and Alzheimer’s, and has become the concern of many studies, and one of them was recently published in neuroscience. More than 55 million people in the world suffer from dementia, more than 60% of them live in countries with low and medium income. According to the World Health Organization, nearly 10 million new cases are recorded each year. The control of brain diseases, especially outdated dementia, is a global priority, as researchers and scientists strive to find effective ways to detect this disease early and develop new treatments. The discovery of outdated dementia and so far there is no medication to treat outdated dementia, and the discovery of the disease comes at a late stage with which medications that can contribute to reduce the severity of the disease, or those who slow down the progress. Discovering your dementia early can contribute to the patient leading a longer life without symptoms, so scientists try to devise easy, effective and cheap diagnostic instruments and can be widely used. Thanks to technological developments, artificial intelligence can now analyze medical images with unprecedented accuracy, which allows doctors to discover minor changes in the brain or retina, which may indicate the beginning of dementia before the symptoms clearly appear, according to a report from the Washington Post. Artificial intelligence and early diagnosis This progress is an important step towards early diagnosis, enabling rapid intervention and delaying the progress of the disease. Artificial intelligence can be used in two main fields, until early detection of brain diseases, namely: brain scanning analysis and retina photography. Artificial intelligence instruments can analyze the detailed brain images through magnetic resonance techniques and the bronze exemption of the forestry version with great accuracy, thanks to the ability to discover the slightest changes in the structure of the brain and its functions. Artificial intelligence, for example, can measure the contraction of the strongholds of the strongholds, which is an early sign of Alzheimer’s disease, this contraction, which may be difficult to pay attention in traditional tests, may indicate the beginning of dementia, before the incidence of clear symptoms. The role of artificial intelligence is not limited to early detection, but also to monitor the development of the disease, by analyzing repeated brain images, artificial intelligence can determine the velocity of the deterioration of the affected brain areas, which helps doctors to assess the effectiveness of treatments and make appropriate treatment decisions on time. Although the traditional methods of diagnosing dementia depend on a neurologist, artificial intelligence depends on the analysis of large amounts of data in the images of the brain, enabling the discovery of complex patterns that cannot be observed in other ways. Thanks to this technique, doctors can begin in the early stages of disease treatment, increasing the chances of improving the quality of the patient’s life and slowing down the development of the disease. Analysis of the retina imaging has become one of the instruments that can play an important role in the discovery of Alzheimer’s disease, and related studies show that the changes that occur in the retina can be closely related, with those in the brain, such as the accumulation of amyloid sheets, which are a characteristic feature of Alzheimer’s disease. Artificial intelligence -algorithms use retinal images -analysis to detect these microscopic changes that may indicate the risk of dementia, and this type of analysis can be a cheaper alternative, and easier compared to traditional brain scan, making it an effective tool for early investigation into the risk groups. Speech detection allows portable devices, smart applications, improved artificial intelligence, follows a wide range of important indicators that can reveal early cognitive changes. Death is a nerve disease that affects memory, thinking and the ability to do daily activities. Early detection of dementia is one of the most important challenges in the field of nerve medicine. One of the innovative ways that can help achieve this goal is to analyze speech patterns using artificial intelligence techniques, as smart algorithms can analyze daily speech to reveal minor changes that may be indicative of the beginning of dementia. Speech is a way to express ideas and information. This directly reflects the person’s cognitive state. It can reflect any changes in speech velocity, sentences and the use of vocabulary disorders in the brain areas associated with memory and thinking. Artificial intelligence can analyze these aspects accurately and quickly, through natural speech recordings, either in daily conversations or in specific tests. One of the early indicators about dementia is the decline of vocabulary, and a person with dementia may find it difficult to find the right words during speaking, leading to the use of less accurate, or more common words. For example, instead of using a specific word such as “phone”, a person can use a general word like “something”, and artificial intelligence can discover these changes by comparing the words used in conversations over time. The growing slow speech is another sign that may indicate a cognitive decline, and a person with dementia can show a growing slow form of sentences, or think for longer periods before responding to questions, and these changes are in the velocity of spiritual treatment, and verbal implementation is one of the signs that can analyze artificial intelligence and compare it with natural standards. Most of the speech analysis applications depend on the detection of dementia on automatic learning algorithms, as the model is trained on great details of natural speech for patients with dementia, and healthy people, then artificial intelligence determines the patterns that differ between the two groups, such as the most common words, the complexity of speech, and the complexity of the centers. Natural language processing techniques are used as natural language processing techniques to analyze spoken text, understanding sentences and phrases used, as speech patterns, with the support of artificial intelligence, can reveal early signs of dementia before its clear symptoms appear. This early detection is a qualitative health care jump as it enables doctors to intervene early and provide treatments. The technique of speech analysis is characterized by being painless, as the patient can simply take the test by having a regular conversation. Smartphone applications, smart house equipment, supported by artificial intelligence, provide continuous follow -up to the development of the patient’s health condition. These applications can record and analyze sound samples regularly, giving the doctor a clear picture of the development of the disease and the effect of treatment. Despite the many benefits of this technique, these are some challenges, as algorithms must be developed to accurately distinguish between natural changes in speech and pathological changes, taking into account linguistic and cultural diversity. The privacy of the sound data for patients should also be protected, and strict security protocols to protect this data from penetration, and the cost of developing and applying this technology can be great, which limits its availability in some areas. The prediction with dementia and biomedical data analysis was made an integral part of the efforts to develop the dementia early detection and to develop prevention and treatment strategies. The diagnosis of dementia is a major challenge in the medical circles, due to the complexity of the genetic and biological factors affecting this disease, but the development of artificial intelligence techniques can open the door for new ways to analyze major data groups, such as genetic information and biological indicators, which enable doctors to be the risk of a person with dementia. Genetics with genetic information bears many of our properties, including the possibility that we have diseases. One of the genes associated with Alzheimer’s APOE ε4, people who carry this gene, is more likely to develop the disease. Artificial intelligence, “read” this genetic code with high accuracy. By analyzing the human genome, smart systems can determine the genetic patterns associated with dementia, which helps identify individuals who are the greatest risk of infection. In addition to genes, there are other important indicators in the body, which may indicate the beginning of dementia; These indicators, such as amyloid and OO proteins, collect in the brain before symptoms appear. And artificial intelligence can analyze these indicators with high accuracy by examining blood samples, rays and medical images, and early analysis allows the diagnosis of the disease in the early stage. Lifestyle analysis and artificial intelligence are not limited to analyzing genetic data or vital signs, but it can combine these information with other factors such as lifestyle, healthy habits and family history, and by linking these factors, smart systems can build a more comprehensive image of the risk of dementia in each individual. Using complex sports models, artificial intelligence can predict the possibility that a person should develop in the future, and these predictions help doctors and patients make enlightened decisions about healthcare plans, such as changing lifestyle or onset of medicine therapy. Deep learning, dealing with large amounts of complex data, can use genetic information with great accuracy, and these models can handle various genetic variables and analyze interactions between them and other biological factors. Cognitive tests The traditional tests for evaluating cognitive functions, such as memory and attention tests, are useful tools, but it is often fixed, and does not have the ability to adapt to the individual’s individual capabilities. Here comes the role of artificial intelligence in the development of more intelligent cognitive tests, specially designed for each individual. These tests can be performed using devices such as smartphones or tablets, making it easier for people in their daily environment, and by monitoring minor performance changes over time, the doctor may determine whether a person suffers from a gradual cognitive decline even before this decline in daily life becomes clear. However, instead of using traditional tests, such as memory tests, artificial intelligence depends on the patient’s questions, taking into account factors such as age, educational level and health background. These smart tests make the evaluation more accurate and suitable for the needs of each individual. With the development of artificial intelligence, these tests can be easily achieved, and each can try it using a smartphone, or any other smart device, making it easier for doctors to follow the patient’s mental health over a long period of time, and this kind of continuous monitoring allows it to detect any minor changes in mental performance. The data analyzed by artificial intelligence can produce accurate and comprehensive results, and this technology provides a better image of brain health compared to traditional methods, allowing doctors to make treatment decisions based on reliable information. One of the biggest benefits of this technique is the ability to discover changes in the brain in very early stages, and it can contribute to the early diagnosis of some cases such as dementia, or Alzheimer’s disease, and the results will be more objective and accurate, especially while reducing the effects of human prejudices or temporary factors such as mood or fatigue, which is a better assessment of cognitive functions. Despite the many benefits, the use of artificial intelligence in cognitive evaluation requires large amounts of personal data, and it is necessary to have strict measures to protect these data, and to ensure that privacy is not violated. A promising future in the future, smart home appliances, or telephones improved artificial intelligence, can constantly monitor the behavior of individuals and their spiritual functions by recording and analyzing their daily lifestyle. For example, walking patterns, talk method or even human reactions can be monitored with the surrounding environment. This monitoring will take place in an unobtrusive way, and without the necessary visits to the doctor, which enables the detection of early signs of dementia. Artificial intelligence will also be able to analyze the data collected by these household devices, and over time the system can detect precise changes in speech patterns or movement, such as gradual slow, or frequency during talking, which may be early indications of the development of dementia. Thanks to artificial intelligence, the early diagnosis of the dementia can become more frequent and easier, and advanced technology will enable doctors to discover the changes in the brain in the beginning phases, enabling the onset of appropriate treatment before the symptoms develop to advanced stages.