Latest AI and machine learning research in pain management for healthcare professionals.
While multimodal data integrating diverse imaging and clinical tabular records is crucial for accura...
High-fidelity 3D Gaussian head avatar generation is critical for applications such as AR/VR, telepre...
Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of A...
Migraine detection and sentiment analysis in healthcare have become increasingly important, particul...
Background. This study examines a competition based model (Cmodel) designed to capture the temporal ...
Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, m...
Background: Heterogeneity in symptom presentation and treatment response in irritable bowel syndrome...
Machine learning is accelerating biomedical research. Cross-validation is widely used to compare pre...
Functional magnetic resonance imaging (fMRI) data are inherently complex, characterized by high dime...
Whether individual transcripts carry intrinsic features that predetermine their response to external...
Background and Objectives Patients with peripheral neuropathies (PN) commonly exhibit balance impair...
Drug-drug interaction (DDI) prediction is a critical task in computational biomedicine, as adverse i...
Many multimodal learning tasks require supervision that remains consistent across edits, viewpoints,...
Randomized neural networks (RdNNs) enable efficient, backpropagation-free training by freezing rando...
While recent advancements in multimodal language models have enabled image generation from expressiv...
Background: Large language models (LLMs) are increasingly used in medical education and clinical dec...
Opioid addiction is characterized by escalating drug use, driven in part by negative reinforcement f...
The lack of analytical models describing diffusion time dependence at intermediate time scales in co...
Machine learning models that can utilize high-dimensional data to make predictions and derive biolog...
Background and Objectives Preoperative prediction of functional outcomes in contrast-enhancing gliom...
Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resectio...