Latest AI and machine learning research in cultural competence for healthcare professionals.
The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms...
tRNA are adapter molecules with an integral role in translation and further roles in stress adaptati...
Artificial intelligence (AI) is increasingly used in clinical settings, yet limited oversight and do...
Generative models are widely used to compensate for class imbalance in AI training pipelines, yet th...
Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Huma...
While hyperspectral images (HSI) benefit from numerous spectral channels that provide rich informati...
Machine learning models deployed in critical care settings exhibit demographic biases, particularly ...
The diversity of training datasets is usually perceived as an important aspect to obtain a robust mo...
Text-to-image generation has advanced rapidly, but existing models still struggle with faithfully co...
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and eff...
Weakly Supervised Object Localization (WSOL) models enable joint classification and region-of-intere...
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and eff...
Understanding how neural networks rely on visual cues offers a human-interpretable view of their int...
Understanding how neural networks rely on visual cues offers a human-interpretable view of their int...
Vision-language models (VLMs) face significant computational inefficiencies caused by excessive gene...
Vision-language models (VLMs) face significant computational inefficiencies caused by excessive gene...
Ancient Chinese character recognition is a core capability for cultural heritage digitization, yet r...
Ensuring fairness in image classification prevents models from perpetuating and amplifying bias. Con...
Information-intensive Document Question Answering (DocQA) is often constrained by long contexts and ...
Popular explanation methods often produce unreliable feature importance scores due to missingness bi...
Cell migration is a key biological process underlying wound healing, tissue development, and cancer ...