Artificial Intelligence Medical Compendium

Simulating urban drainage hydraulics is computationally demanding, limiting its application in tasks that require real-time or repeated simulations. Graph Neural Networks (GNNs) are promising metamodels, but the effect of their internal components an... read more 

Image harmonization is a crucial task in image composition and editing, which aims to adjust the foreground to be harmonious with the background. Due to the lack of clear reference standards for foreground appearance adjustment, image harmonization i... read more 

The timely detection of impending seizures can offer physicians a critical window of opportunity to implement interventions and enable epileptic patients to take preventive and coping measures promptly. Traditional seizure prediction research has pri... read more 

With the proliferation of multimodal data in real-world applications, Chinese Named Entity Recognition (CNER) has extended beyond textual inputs to incorporate speech and speech-text multimodal scenarios. However, existing methods often treat text-ba... read more 

Multivariate time series (MTS) forecasting is essential for process monitoring and decision optimization in numerous real-world domains. Existing deep models need to be trained from scratch on abundant data, resulting in limited generalization. Inspi... read more 

Knowledge Distillation (KD) is a widely used technique to enhance model performance. However, most existing methods are designed under the assumption that the teacher and student models belong to the homogeneous architecture -particularly those relyi... read more 

One of the regions in Indonesia that has the highest prevalence of stunting cases is West Nusa Tenggara, with a percentage of cases almost reaching 12.7 %, even though this province is a priority target for stunting reduction by 2022. Specifically in... read more 

OBJECTIVE: To examine cross-sectional and longitudinal associations between vascular risk factors, APOE genotype, and perivascular spaces (PVS), with attention to sex- and region-specific patterns in older adults. DESIGN: Population-based observation... read more 

PURPOSE: Novel large language models (LLMs) such as Generative Pretrained Transformer-5 (GPT-5) integrate advanced reasoning capabilities that may enhance performance on complex medical question-answering tasks. For this latest generation of reasonin... read more 

BACKGROUND AND OBJECTIVE: Early detection of oral cavity cancers is critical for improving patient survival rates and treatment efficacy. In this context, this study evaluates the potential of computer vision models as diagnostic tools for identifyin... read more