Latest AI and machine learning research in work force for healthcare professionals.
Brain maps (e.g. retinotopy, somatotopy) vary across individuals. This is thought to reflect underly...
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale ...
A substantial proportion (45\%) of maternal deaths, neonatal deaths, and stillbirths occur during th...
Machine learning (ML) methods for proteins and RNAs rely on multiple sequence alignments (MSAs) and ...
Contrastive learning has demonstrated great success in representation learning, especially for image...
Out-of-distribution (OOD) detection is critical for the safe deployment of machine learning systems....
The pantograph-catenary interface is essential for ensuring uninterrupted and reliable power deliver...
Importance: High-quality discharge summaries are essential for safe care transitions but contribute ...
Distribution matching distillation (DMD) aligns a multi-step generator with its few-step counterpart...
The limited sample size and insufficient diversity of lung nodule CT datasets severely restrict the ...
Imitation learning has achieved remarkable success in robotic manipulation, yet its application to s...
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...
Annotating medical data for training AI models is often costly and limited due to the shortage of sp...
Background Beta diversity quantifies pairwise differences between two or more communities through ma...
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content...
Object detection in sonar images is a key technology in underwater detection systems. Compared to na...
Spatial understanding remains a key challenge in vision-language models. Yet it is still unclear whe...
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content...
There is an urgent need for triage and classification of high-volume medical imaging modalities such...
Reinforcement learning approaches for therapeutic peptide generation suffer from mode collapse, conv...