Latest AI and machine learning research in pain management for healthcare professionals.
Recent work shows that text-only reinforcement learning with verifiable rewards (RLVR) can match or ...
Quantitative assessment of brain histology is often constrained by predefined feature sets and labor...
Masked Image Modeling has been one of the most popular self-supervised learning paradigms to learn r...
The nicotine addiction public health crisis continues to be pervasive. In this century alone, the to...
Machine learning holds promise for advancing clinical decision support, yet it remains unclear when ...
Neural operators have emerged as an efficient paradigm for solving PDEs, overcoming the limitations ...
Multi-tracer positron emission tomography (PET) provides critical insights into diverse neuropatholo...
Multimodal Large Language Models (MLLMs) deliver detailed responses on vision-language tasks, yet re...
Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring durin...
Counterfactual inference enables clinicians to ask "what if" questions about patient outcomes, but s...
Unified multimodal models can both understand and generate visual content within a single architectu...
Temporal information in structured electronic health records (EHRs) is often lost in sparse one-hot ...
Unified multimodal models can both understand and generate visual content within a single architectu...
Abstract Background Neurodegenerative diseases, including Alzheimer's disease (AD), exhibit substant...
Characterizing two-dimensional quantum materials from optical microscopy images is challenging due t...
Transformer models achieve state-of-the-art performance across domains and tasks, yet their deeply l...
Background: Australian health practitioners are regulated under the Health Practitioner Regulation N...
Large language models (LLMs) are increasingly used for qualitative analysis in substance use researc...
Understanding how gene function emerges across molecular, cellular, and pharmacologic contexts remai...
We introduce a novel uncertainty-aware multimodal segmentation framework that leverages both radiolo...
The opioid epidemic continues to ravage communities worldwide, straining healthcare systems, disrupt...