Latest AI and machine learning research in practice management for healthcare professionals.
This paper investigates distributed source-channel coding for correlated image semantic transmissi...
Domain generalization has become a critical challenge in clinical prediction, where patient cohort...
We introduce MedAgentGYM, the first publicly available training environment designed to enhance co...
How can we quantize large language models while preserving accuracy? Quantization is essential for...
Deep learning approaches process data in a layer-by-layer way with intermediate (or latent) featur...
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improv...
Implicit motives, nonconscious needs that influence individuals' behaviors and shape their emotions,...
Predictive coding networks (PCNs) constitute a biologically inspired framework for understanding h...
Hepato-pancreato-biliary (HPB) disorders represent a global public health challenge due to their h...
The Facial Action Coding System (FACS) has been used by numerous studies to investigate the links ...
Verifiers play a crucial role in large language model (LLM) reasoning, needed by post-training tec...
This paper proposes a novel vision-integrated neural speech codec (VNSC), which aims to enhance sp...
BACKGROUND: Deaths related to physical trauma impose a heavy burden on society, and the Abbreviated ...
3D Gaussian Splatting (3DGS) has gained popularity for its fast and high-quality rendering, but it...
Long-distance depth imaging holds great promise for applications such as autonomous driving and ro...
Predictive Coding (PC) offers a biologically plausible alternative to backpropagation for neural n...
ICD Coding aims to assign a wide range of medical codes to a medical text document, which is a pop...
Most existing approaches for image and video compression perform transform coding in the pixel spa...
In this paper, we propose to compress human body video with interactive semantics, which can facil...
Large language models (LLMs) hold significant potential for mental health support, capable of gene...
Efficient video coding is highly dependent on exploiting the temporal redundancy, which is usually...