Latest AI and machine learning research in work force for healthcare professionals.
Background: Diabetic retinopathy (DR) is the leading cause of preventable blindness among working-ag...
Knowledge distillation (KD) represents a vital mechanism to transfer expertise from complex teacher ...
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...
Computer-Aided Design (CAD) models are defined by their construction history: a parametric recipe th...
Plankton monitoring is essential for assessing aquatic ecosystems but is limited by the labor-intens...
Large-scale dataset distillation requires storing auxiliary soft labels that can be 30-40x larger on...
In text-to-image person retrieval tasks, the diversity of natural language expressions and the impli...
Open-vocabulary remote sensing image segmentation (OVRSIS) remains underexplored due to fragmented d...
Composed Image Retrieval (CIR) aims to retrieve target images by integrating a reference image with ...
Background: Datasets related to infectious diseases are essential for public health decision-making,...
We address the problem of tactile localization, where the goal is to identify image regions that sha...
While the shortage of explicit action data limits Vision-Language-Action (VLA) models, human action ...
Deep learning underpins a wide range of applications in MRI, including reconstruction, artifact remo...
Existing defect/anomaly generation methods often rely on few-shot learning, which overfits to specif...
Medical foundation models (MFMs) aim to learn universal representations from multimodal medical imag...
Cell state diversity drives tissue adaptability, repair, and disease resilience, but fully capturing...
Ask a frontier model how to taper six milligrams of alprazolam (psychiatrist retired, ten days of pi...
RL training of multi-turn LLM agents is inherently unstable, and reasoning quality directly determin...
Data heterogeneity hinders clinical deployment of medical image analysis models, and generative data...
Background: Clinical documentation and information retrieval consume over half of physicians working...