期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 118 ()
Burns are a common and severe problem in public health. Early and timely classification of burn depth is effective for patients to receive targeted tr......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 118 ()
Objective: Using the deep learning model to realize tongue image-based disease location recognition and focus on solving two problems: 1. The ability ......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 116 ()
Objectives: Individuals may respond differently to the same treatment, and there is a need to understand such heterogeneity of causal individual treat......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 118 ()
Predicting the associations between microRNAs (miRNAs) and diseases is of great significance for identifying miRNAs related to human diseases. Since i......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 114 ()
In real-world data, predictive models for clinical risks (such as adverse drug reactions, hospital readmission, and chronic disease onset) are constan......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 118 ()
Objective: Health issue identification in social media is to predict whether the writers have a disease based on their posts. Numerous posts and comme......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 118 ()
Resembling the role of disease diagnosis in Western medicine, pathogenesis (also called Bing Ji) diagnosis is one of the utmost important tasks in tra......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 118 ()
Automatic epileptic seizure detection according to EEG recordings is helpful for neurologists to identify an epilepsy occurrence in the initial anti-e......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 117 ()
During pandemics (e.g., COVID-19) physicians have to focus on diagnosing and treating patients, which often results in that only a limited amount of l......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 113 ()
Background and objective: Clinical decision support assisted by prediction models usually faces the challenges of limited clinical data and a lack of ......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 113 ()
Glaucoma is the leading cause of irreversible blindness. For glaucoma screening, the cup to disc ratio (CDR) is a significant indicator, whose calcula......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 111 ()
Due to low tissue contrast, irregular shape, and large location variance, segmenting the objects from different medical imaging modalities (e.g., CT, ......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 111 ()
Functional connectivity networks (FCNs) provide a potential way for understanding the brain organizational patterns and diagnosing neurological diseas......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021; 111 ()
Apart from the need for superior accuracy, healthcare applications of intelligent systems also demand the deployment of interpretable machine learning......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2020; 102 ()
Early detection of skin cancer is very important and can prevent some skin cancers, such as focal cell carcinoma and melanoma. Although there are seve......
