Latest AI and machine learning research in pain management for healthcare professionals.
Considering the limitations of use and side effects of existing analgesics, the discovery of new ana...
BACKGROUND: Chronic back pain (CBP) affects over 80 million people in Europe, contributing to substa...
Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in m...
Previous works have indicated that Transformer-based models bring impressive image reconstruction pe...
Technology dependence has long been a critical public health issue, especially among young people. W...
Vision-Language Models (vLLMs) have emerged as powerful architectures for joint reasoning over vis...
Automated and accurate segmentation of individual vertebra in 3D CT and MRI images is essential fo...
Recent advances in deep learning have made it possible to predict phenotypic measures directly fro...
Background. Chronic pain afflicts 20 % of the global population. A strictly biomedical mind-set le...
Hepatic echinococcosis (HE) is a widespread parasitic disease in underdeveloped pastoral areas wit...
Foundation models are revolutionising pathology by leveraging large-scale, pretrained artificial int...
In recent years, the performance of lightweight Single-Image Super-Resolution (SISR) has been impr...
Recently, Mamba-based methods have become popular in medical image segmentation due to their light...
Diagnostic errors remain a major cause of preventable deaths, particularly in resource-limited reg...
BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platform...
Video matting is crucial for applications such as film production and virtual reality, yet deployi...
We consider the problem of generalizable novel view synthesis (NVS), which aims to generate photor...
Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...
To address key limitations in human-object interaction (HOI) video generation -- specifically the ...
While vision-language models (VLMs) have demonstrated promising capabilities in reasoning and plan...
Recent progress in multimodal generation has increasingly combined autoregressive (AR) and diffusi...