Latest AI and machine learning research in cultural competence for healthcare professionals.
Despite the remarkable progress of large language models (LLMs) across various domains, their capa...
Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capa...
Current diversification strategies for text-to-image (T2I) models often ignore contextual appropri...
Current diversification strategies for text-to-image (T2I) models often ignore contextual appropri...
Artificial intelligence systems, especially those using machine learning, are being deployed in do...
MR imaging techniques are of great benefit to disease diagnosis. However, due to the limitation of...
Emerging spatial profiling technologies have revolutionized our understanding of how tissue architec...
Humans are able to recognize objects based on both local texture cues and the configuration of obj...
This narrative review explores the transformative role of artificial intelligence (AI) in forensic m...
Graph Neural Networks (GNNs) have been widely adopted to mine topological patterns contained in phys...
This paper studies the influence of behavioral biases on Fintech adoption. Additionally, the role of...
The use of Natural Language Processing (NLP) in highstakes AI-based applications has increased sig...
Open-vocabulary object detectors such as Grounding DINO are trained on vast and diverse data, achi...
Understanding and decoding brain activity from electroencephalography (EEG) signals is a fundament...
Commercial RGB-D cameras often produce noisy, incomplete depth maps for non-Lambertian objects. Tr...
The diagnostic value of electrocardiogram (ECG) lies in its dynamic characteristics, ranging from ...
Language Models (LMs) are indispensable tools shaping modern workflows, but their global effective...
Culturally adaptive emotional responses remain a critical challenge in affective computing. This p...
Conducting disparity assessments at regular time intervals is critical for surfacing potential bia...
Recent advancements in diffusion-based text-to-image (T2I) models have enabled the generation of h...
Although Large Vision Language Models (LVLMs) have demonstrated remarkable performance in image un...