Latest AI and machine learning research in cultural competence for healthcare professionals.
Self-verification, re-invoking the same vision language model (VLM) in a fresh context to check its ...
Machine learning continues to accelerate peptide and protein design through the rapid prediction and...
Labeled datasets reflect the biases of their annotation pipelines, which sometimes introduce label b...
While Multimodal Large Language Models (MLLMs) are increasingly integrated with Retrieval-Augmented ...
In routine care, individuals identified a priori as high-risk are usually tested for conditions more...
We present EDDY (Exact-marginal Diversification via Divergence-free dYnamics), a guidance mechanism ...
GUI grounding is a critical capability for enabling GUI agents to execute tasks such as clicking and...
Clinical decision-making is a critical competency for nurses particularly in resource-constrained he...
The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to buil...
Fairness in machine learning remains challenging due to its ethical complexity, the absence of a uni...
The scarcity of high-quality annotated medical data, particularly in mental health, poses a signific...
Background: Emerging evidence suggests that the oral microbiome may contribute to aberrant gut immun...
Class-level evaluation can conceal substantial performance disparities across subconcepts within the...
Background: The rapid expansion of medical literature has led to substantial variability and frequen...
Knowledge distillation (KD) is a well-known technique to effectively compress a large network (teach...
Training reliable respiratory sound classification models remains challenging due to the limited siz...
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered ...
With the rapid growth of video data, Composed Video Retrieval (CVR) has emerged as a novel paradigm ...
Large-scale dataset distillation requires storing auxiliary soft labels that can be 30-40x larger on...
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...