Latest AI and machine learning research in work force for healthcare professionals.
Background: Typing in the electronic health record (EHR) takes up healthcare providers' time and cog...
Monocular 3D object detection (M3OD) is intrinsically ill-posed, hence training a high-performance d...
Background: EHR documentation and chart review contribute to clinician workload and burnout. To alle...
Despite high semantic alignment, modern text-to-image (T2I) generative models still struggle to synt...
Compositional generalization, the ability to reason about novel combinations of familiar concepts, i...
Sodium azide mutagenesis offers a powerful approach to generate genetic diversity for rice improveme...
Ecological theory predicts that local species richness can influence biogeographic rates of speciati...
Dataset distillation compresses the original data into compact synthetic datasets, reducing training...
Text-to-video generation is expensive, so only a few samples are typically produced per prompt. In t...
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 ...
Reinforcement Learning with Verifiable Rewards (RLVR) has established itself as the dominant paradig...
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...
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...