ISAIMS

Monitoring brain activity is of great significance in biomedical, neuroscience, and even computer science. Though many technologies can detect brain activity, such as EEG, MEG, fMRI and fNIRS, they all have limitations on spatial resolution or time ...

Brain computer Interface (BCI) is attracting increasing attention in neural engineering, which can encode brain signals into control command. In recent years, with computer science growing, deep learning has been gradually applied to BCI system, which ...

Alzheimer's Disease (AD) is a common which has a very high incidence of disease and incidence in the elderly population and Mild Cognitive Impairment (MCI) is the prodromal stage of AD, and its symptoms are between normal and dementia. As time ...

Since the heart rate is one of the critical indicators of the human body, the heart-rate monitoring process plays an important role in the evaluation of the body function wellness. Along these lines, a portable wireless heart-rate monitoring system is ...

Depression is one of the most common mental disorders, with a high prevalence, disability and death rate, which seriously affect population health and social functions. It is the main type of mood disorder with significant and lasting depression as the ...

In 2016, Shi Degang of Foshan First People's Hospital and Peng Jinxiang of Guangdong Polytechnic jointly applied for the basic platform project of scientific research in universities and hospitals, "R&D and Demonstration Application of Cloud Computing ...

This paper analyzes the core technologies in the construction of the epidemic prevention and control platform, including big data technology, artificial intelligence technology, Echarts data visualization technology, Python language, YAPI technology. ...

Existing knowledge extraction methods in pharmacy often use natural language processing tools and deep learning model to identify drug entities and extract their relationships from drug instructions, thus obtaining drug-drug or drug-disease knowledge. ...

TCM (Traditional Chinese Medicine) symptoms are divided into six categories, and these symptom categories contain a lot of clinical diagnostic information. At present, the classification of TCM symptoms is mainly based on the experience of TCM ...

Suicide is a growing public health concern. The method currently assessing suicide risk is very subjective, which may limit the efficacy and accuracy of forecasting efforts. It has been suggested that artificial intelligence (AI) has potential ...

With the deepening of the problem of population aging, the problems of physical aging and cognitive decline that accompany age have received increasing attention from researchers. Cognitive frailty refers to an elderly clinic with cognitive impairment ...

This study aimed to use CiteSpace software to conduct a bibliometric analysis of published articles on the information technology in operating room in the last decade. Data were obtained from the China National Knowledge Infrastructure and Web of ...

Depression, as a global psychological disorder, is one of the important factors that cause human health, economic or social burden. Researches have shown that metabolism disorders caused by immune system diseases (i.e. diabetes, crohn disease, irritable ...

Artificial intelligence is known as one of the three cutting-edge technologies in the 21st century and has been integrated into many fields of society. In recent years, with the country's encouragement, policy relaxation, and the continuous "Chinese ...

COVID-19 was the most serious health emergency in 2020, and now it has become a global public health problem. The high infectivity of COVID-19 makes controlling its prevalence an important measure to contain its further development. In view of the fact ...

China is facing a serious visual health crisis, especially the trend of high incidence of myopia and low age. The Chinese government pays special attention to the vision health of young people. The prevention and treatment of myopia in children and ...

The world's first COVID-19 infection was confirmed in 2019, and the virus has since spread rapidly around the world, with more than 200 million people infected worldwide and almost 4 million fatalities by August 2021. Therefore, it is important to study ...

Chronic pain is a serious threat to human health. Studies have shown that Brain-derived neurotrophic factor (BDNF) is closely related to pain and plays a crucial role in the induction to chronic pain. At present, the clinical treatment of neuropathic ...

The visual encoding model based on the convolutional neural network (CNN) realizes the prediction of brain activity from the hierarchical similarity between deep neural network and visual cortex. However, studies have shown that CNNs trained on the ...

Artifical intelligence (AI) is changing many aspects of our lives. It includes machine learning (ML) and deep learning (DL), which can automatically obtain information from the database through algorithms and make predictions. It has been widely used in ...

With the rapid development of bibliographical data of biomedical articles, it is hard for scientists to keep up with the most recent biomedical literatures. Biomedical relation extraction aims to uncover high-quality relations from biomedical literature ...

In this study, a knowledge graph (KG) based Tibetan medicine intelligent question answering (QA) system model was proposed based on an adversarial learning generative network model, in an attempt to alleviate the scarcity of medical resources, promote ...

Nutrition is closely associated with public health, and more and more studies have demonstrated that there are many correlations between the gut microbiota and nutritional disorders. These studies constitute the basic source of medical knowledge. ...

With the transformation of medical model and the promotion of the construction of healthy China, continuing to follow the traditional development model has been unable to meet the health needs of the new era. As early as the 1970s, traditional Chinese ...

Accurate recognition of micro-expressions facilitates emotional communication, and correct capture of expressions is associated with deception detection. The combination of artificial intelligence and psychology can be widely used in various fields such ...

Diabetes Mellitus is one of the most significant chronic metabolic diseases characterized by persistent hyperglycemia affecting human beings in the last few decades. Currently, many research groups are working for building a predictive model to help ...

The scale is a general rule summarized in a large number of clinical processes, and the professional medical scale is statistically scientific. In the medical field, scales are very important to the clinic, and many scales are used clinically to ...

In the analysis of fundus images, optic disc segmentation is vital to judge eye diseases such as diabetic retinopathy and glaucoma. Improving the accuracy of optic disc segmentation is of great significance to the diagnosis of the above diseases. Based ...

Online social media provides people with a platform to express their emotions anonymously. Social media has been identified as an important data source for suicide prevention related to emotional problems in China. Almost Three million messages were ...

Exposure to environmental stimuli can initiate processes that transmit information to the next generation through epigenetic mechanisms. This information can be coded into memories which are beneficial for the offspring's survival. Previous researches ...