Latest AI and machine learning research in pain management for healthcare professionals.
Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in many daily life spheres, even sparking scholarly debate about a potential "ChatGPT addiction." Throughout history, new technologies have repeatedly been associated with widespread concerns and "moral panics," especially when their adoption is sudden and involves significant changes in daily functioni...
Previous works have indicated that Transformer-based models bring impressive image reconstruction performance in single image super-resolution (SISR). However, existing Transformer-based approaches utilize self-attention within non-overlapping windows. This restriction hinders the network's ability to adopt large receptive fields, which are essential for capturing global information and establishi...
Technology dependence has long been a critical public health issue, especially among young people. With the development of AI chatbots, many individua...
Vision-Language Models (vLLMs) have emerged as powerful architectures for joint reasoning over visual and textual inputs, enabling breakthroughs in ...
Automated and accurate segmentation of individual vertebra in 3D CT and MRI images is essential for various clinical applications. Due to the limita...
Recent advances in deep learning have made it possible to predict phenotypic measures directly from functional magnetic resonance imaging (fMRI) bra...
Building damage identification shortly after a disaster is crucial for guiding emergency response and recovery efforts. Although optical satellite i...
Background. Chronic pain afflicts 20 % of the global population. A strictly biomedical mind-set leaves many sufferers chasing somatic cures and has ...
Hepatic echinococcosis (HE) is a widespread parasitic disease in underdeveloped pastoral areas with limited medical resources. While CNN-based and T...
Foundation models are revolutionising pathology by leveraging large-scale, pretrained artificial intelligence (AI) systems to enhance diagnostics, aut...
In recent years, the performance of lightweight Single-Image Super-Resolution (SISR) has been improved significantly with the application of Convolu...
Recently, Mamba-based methods have become popular in medical image segmentation due to their lightweight design and long-range dependency modeling c...
Diagnostic errors remain a major cause of preventable deaths, particularly in resource-limited regions. Medical training simulators, including robop...
BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platforms have led to unprecedented mental health challeng...
Video matting is crucial for applications such as film production and virtual reality, yet deploying its computationally intensive models on resourc...
We consider the problem of generalizable novel view synthesis (NVS), which aims to generate photorealistic novel views from sparse or even unposed 2...
Drug addiction remains a complex global public health challenge, with traditional anti-addiction drug discovery hindered by limited efficacy and slow ...
To address key limitations in human-object interaction (HOI) video generation -- specifically the reliance on curated motion data, limited generaliz...
While vision-language models (VLMs) have demonstrated promising capabilities in reasoning and planning for embodied agents, their ability to compreh...
Recent progress in multimodal generation has increasingly combined autoregressive (AR) and diffusion-based approaches, leveraging their complementar...