BACKGROUND: Digital health technologies-including mobile applications, telemedicine platforms, artificial intelligence, and eHealth tools-are transforming health care delivery by enhancing access, personalization, and efficiency. However, traditional... read more
Dance is often perceived as complex due to the need for coordinating multiple body movements and precisely aligning them with musical rhythm and content. Research in automatic dance performance assessment has the potential to enhance individuals' sen... read more
Personalized blood glucose (BG) prediction in Type 1 Diabetes (T1D) is challenged by significant inter-patient heterogeneity. To address this, we propose BiT-MAML, a hybrid model combining a Bidirectional LSTM-Transformer with Model-Agnostic Meta-Lea... read more
Inverse rendering aims to reconstruct geometry and reflectance from captured
images. Display-camera imaging systems offer unique advantages for this task:
each pixel can easily function as a programmable point light source, and the
polarized light ... read more
Concept bottleneck models (CBMs) are inherently interpretable models that
make predictions based on human-understandable visual cues, referred to as
concepts. As obtaining dense concept annotations with human labeling is
demanding and costly, recen... read more
Visual prompt-based methods have seen growing interest in incremental
learning (IL) for image classification. These approaches learn additional
embedding vectors while keeping the model frozen, making them efficient to
train. However, no prior work... read more
As a key ecological parameter, NPP measures the photosynthetic efficiency of plants in capturing atmospheric carbon. With the warming of the climate, extreme temperature events are frequent, which has exerted a profound influence on NPP. Previous stu... read more
The size and complexity of the human brain require optimally sized and myelinated fibers. White matter fibers facilitate fast communication between distant areas, but also connect adjacent cortical regions via short association fibers. The difference... read more
Adolescent Self-Injurious Behavior (SIB) is a significant global public health issue, with a lifetime prevalence rate of approximately 13.7%. As awareness of SIB rises, there is an urgent need for effective prediction mechanisms to enable early ident... read more
Zhonghua wai ke za zhi [Chinese journal of surgery]
Aug 20, 2025
To investigate the application effectiveness of the artificial intelligence(AI) based Generative Pre-treatment tool of Skeletal Pathology (GPTSP) in measuring functional lumbar radiographic examinations. This is a retrospective case series study,re... read more
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