Latest AI and machine learning research in cultural competence for healthcare professionals.
Background Beta diversity quantifies pairwise differences between two or more communities through ma...
Spatial understanding remains a key challenge in vision-language models. Yet it is still unclear whe...
Large language models (LLMs) increasingly operate in high-stakes settings including healthcare and m...
Prior research demonstrates that performance of language models on reasoning tasks can be influenced...
Reinforcement learning approaches for therapeutic peptide generation suffer from mode collapse, conv...
Reinforcement learning (RL) has emerged as a powerful paradigm for fine-tuning large-scale generativ...
Pre-trained models operating directly on raw bytes have achieved promising performance in encrypted ...
A model that avoids stereotypes in a lab benchmark may not avoid them in deployment. We show that me...
Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastr...
ObjectiveOur goal was to create open-source software for closed-loop EEG-TMS that allows researchers...
Medical imaging datasets often suffer from class imbalance and limited availability of pathology-ric...
When training machine learning (ML) models for potential deployment in a healthcare setting, it is e...
Recent works have implemented machine learning based solutions for many complex classification tasks...
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseli...
A range of generative machine learning models for the design of novel molecules and materials have b...
Subject-consistent generation (SCG)-aiming to maintain a consistent subject identity across divers...
Recent works have revisited the infamous task ``Name That Dataset'', demonstrating that non-medica...
Recent work has revisited the infamous task Name that dataset and established that in non-medical ...
Clothes-Changing Re-Identification (CC-ReID) aims to recognize individuals across different locati...
Result diversification (RD) is a crucial technique in Text-to-Image Retrieval for enhancing the ef...
Open vocabulary Human-Object Interaction (HOI) detection is a challenging
task that detects all