Latest AI and machine learning research in surveys for healthcare professionals.
Multimodal Large Language Models (MLLMs) have been increasingly used as automatic evaluators-a parad...
Modern text-to-image (T2I) models amplify harmful societal biases, challenging their ethical deploym...
In face recognition systems, facial templates are widely adopted for identity authentication due to ...
The evaluation of fairness in machine learning systems has become a central concern in high-stakes a...
The benefits of interventions targeting cognitive aging vary substantially across individuals, large...
In clinical practice, the robustness of deep learning models for multimodal brain tumor segmentation...
Semantic segmentation of histopathology images under class imbalance is typically addressed through ...
In computer vision, a prevailing method for quantifying dataset bias is to train a model to distingu...
We present SparseGen, a novel framework for efficient image-to-3D generation, which exhibits low inp...
Reward models (RMs) are inherently non-neutral value functions designed and trained to encode specif...
In this study, we investigate gender bias in a Retrieval-Augmented Generation (RAG) based AI assista...
In recent years, the rapid development of generative artificial intelligence technology has signific...
Text-to-image (T2I) generative models achieve impressive visual fidelity but inherit and amplify dem...
Objective: To develop a robust and compact deep learning model for automated knee cartilage segmenta...
Sparse-view reconstruction with 3D Gaussian Splatting (3DGS) is fundamentally ill-posed due to insuf...
Fairness in human-robot interaction critically depends on the reliability of the perceptual models t...
Recent research has shown that contrastive vision-language models such as CLIP often lack fine-grain...
Background: Artificial intelligence chatbots (AICs), as a form of generative artificial intelligence...
Background: The integration of artificial intelligence (AI) into clinical practice holds transformat...
Background: Oral health remains inadequately integrated within the Ayushman Bharat Digital Mission (...
Background: Early breast cancer detection remains central to improving clinical outcomes, yet conven...