Pain Management

Latest AI and machine learning research in pain management for healthcare professionals.

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Development and validation of neurological health score using machine learning algorithms

Neurological health score (NHS), indicating the health of brain and nervous system, helps in identif...

Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning

Back pain is a pervasive issue affecting a significant portion of the population, often worsened by ...

C^2ROPE: Causal Continuous Rotary Positional Encoding for 3D Large Multimodal-Models Reasoning

Recent advances in 3D Large Multimodal Models (LMMs) built on Large Language Models (LLMs) have esta...

DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories

Existing multimodal retrieval systems excel at semantic matching but implicitly assume that query-im...

Design, Development, and Use of Maya Robot as an Assistant for the Therapy/Education of Children with Cancer: a Pilot Study

This study centers around the design and implementation of the Maya Robot, a portable elephant-shape...

VFGS-Net: Frequency-Guided State-Space Learning for Topology-Preserving Retinal Vessel Segmentation

Accurate retinal vessel segmentation is a critical prerequisite for quantitative analysis of retinal...

Multi-objective computational design optimization of a Total Disc Replacement implant

While cervical arthroplasty using Total Disc Replacement (TDR) implants is an established treatment ...

Efficient Brain Extraction of MRI Scans with Mild to Moderate Neuropathology

Skull stripping magnetic resonance images (MRI) of the human brain is an important process in many i...

ChatUMM: Robust Context Tracking for Conversational Interleaved Generation

Unified multimodal models (UMMs) have achieved remarkable progress yet remain constrained by a singl...

DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters

While generative modeling on time series facilitates more capable and flexible probabilistic forecas...

Single-cell machine learning uncovers genetically anchored, cell-type specific programs of Alzheimer's disease

Aging and genetic risk shape the molecular programs that confer cellular vulnerability in Alzheimer'...

DSXFormer: Dual-Pooling Spectral Squeeze-Expansion and Dynamic Context Attention Transformer for Hyperspectral Image Classification

Hyperspectral image classification (HSIC) is a challenging task due to high spectral dimensionality,...

Organellomics: AI-driven deep organellar phenotyping reveals novel ALS mechanisms in human neurons

Systematic assessment of organelle architectures, termed the organellome, offers valuable insights i...

Individual Differences in Dopaminergic Modulation of Exploration-Exploitation Behaviour

Dopamine (DA) has been implicated in exploration-exploitation behaviour, i.e., exploring novel, pote...

NativeTok: Native Visual Tokenization for Improved Image Generation

VQ-based image generation typically follows a two-stage pipeline: a tokenizer encodes images into di...

On Safer Reinforcement Learning Policies for Sedation and Analgesia in Intensive Care

Pain management in intensive care usually involves complex trade-offs between therapeutic goals and ...

Multi-omic deep learning identifies exercise-responsive ageing pathways in humans

Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molec...

Noninvasive and Objective Near Real-Time Detection of Pain Changes in Fluctuating Pain

Chronic pain involves natural intensity fluctuations that patients cannot control, contributing to l...

Electrophysiological Correlates of Reinforcement Learning in the Human Ventral Tegmental Area

The ventral tegmental area is the primary source of dopaminergic input to the human prefrontal corte...

GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health

Nutritional interventions are important for managing chronic health conditions, but current computat...

Population-Scale Analysis of Frequency-Dependent Calcium Dynamics in Retinal Ganglion Cells Under Electric Field Stimulation

Electric field (EF) stimulation is an emerging neuromodulatory strategy for promoting the repair and...

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