Latest AI and machine learning research in cultural competence for healthcare professionals.
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale ...
In machine learning, "ground truth" refers to the assumed correct labels used to train and evaluate ...
Machine learning (ML) methods for proteins and RNAs rely on multiple sequence alignments (MSAs) and ...
Recent advances in large language models (LLMs) have enabled the development of multimodal medical A...
Text-to-image diffusion models achieve impressive generation quality but inherit and amplify trainin...
Passive Acoustic Monitoring offers a scalable solution for biodiversity assessment in the Neotropics...
Epidemiologists have access to various methods to reduce bias and improve statistical efficiency in ...
Distribution matching distillation (DMD) aligns a multi-step generator with its few-step counterpart...
Large Language Models (LLMs) trained for average correctness often exhibit mode collapse, producing ...
Health-Related Social Needs (HRSNs) significantly impact health outcomes, yet traditional care often...
The limited sample size and insufficient diversity of lung nodule CT datasets severely restrict the ...
Background: Generating synthetic data using artificial intelligence, such as large language models (...
Antimicrobial resistance (AMR) is a growing global public health threat projected to cause up to 10 ...
Compressing long chains of thought (CoT) into compact latent tokens is crucial for efficient reasoni...
Background: Human immunodeficiency virus (HIV) disproportionately affects marginalized communities i...
Tuberculosis (TB), caused by Mycobacterium tuberculosis (M.tb), remains a major global health challe...
The deployment of Artificial Intelligence in high-risk domains, such as finance and healthcare, nece...
Accurate segmentation annotations are critical for disease monitoring, yet manual labeling remains a...
Fetal ultrasound (US) data is often limited due to privacy and regulatory restrictions, posing chall...
Automated respiratory sound classification supports the diagnosis of pulmonary diseases. However, ma...
Healthcare institutions have access to valuable patient data that could be of great help in the deve...