Pain Management

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

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Four Things People Should Know About Migraines

Migraine literacy among the public is known to be low, and this lack of understanding has a negati...

3D Convolutional Neural Networks for Improved Detection of Intracranial bleeding in CT Imaging

Background: Intracranial bleeding (IB) is a life-threatening condition caused by traumatic brain i...

GRN+: A Simplified Generative Reinforcement Network for Tissue Layer Analysis in 3D Ultrasound Images for Chronic Low-back Pain

3D ultrasound delivers high-resolution, real-time images of soft tissues, which is essential for p...

InterSliceBoost: Identifying Tissue Layers in Three-dimensional Ultrasound Images for Chronic Lower Back Pain (cLBP) Assessment

Available studies on chronic lower back pain (cLBP) typically focus on one or a few specific tissu...

A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation

Mamba, with its selective State Space Models (SSMs), offers a more computationally efficient solut...

$L^2$FMamba: Lightweight Light Field Image Super-Resolution with State Space Model

Transformers bring significantly improved performance to the light field image super-resolution ta...

Geometry adaptive waveformer for cardio-vascular modeling

Modeling cardiovascular anatomies poses a significant challenge due to their complex, irregular st...

NdLinear Is All You Need for Representation Learning

Many high-impact machine learning tasks involve multi-dimensional data (e.g., images, volumetric m...

A Real-Time Human Action Recognition Model for Assisted Living

Ensuring the safety and well-being of elderly and vulnerable populations in assisted living enviro...

Multimodal Feature-Driven Deep Learning for the Prediction of Duck Body Dimensions and Weight

Accurate body dimension and weight measurements are critical for optimizing poultry management, he...

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba

Diffusion models currently demonstrate impressive performance over various generative tasks. Recen...

Efficient Multimodal 3D Object Detector via Instance-Level Contrastive Distillation

Multimodal 3D object detectors leverage the strengths of both geometry-aware LiDAR point clouds an...

Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data

Geospatial raster data, such as that collected by satellite-based imaging systems at different tim...

Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention

Estimating brain effective connectivity (EC) from functional magnetic resonance imaging (fMRI) dat...

Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain.

It is clear that artificial intelligence-based chatbots will be popular applications in the field of...

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Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

Histo-genomic multimodal survival prediction has garnered growing attention for its remarkable mod...

dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis

Federated learning has wide applications in the medical field. It enables knowledge sharing among ...

BioSerenity-E1: a self-supervised EEG model for medical applications

Electroencephalography (EEG) serves as an essential diagnostic tool in neurology; however, its acc...

Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning

Correlation of neuropathology with MRI has the potential to transfer microscopic signatures of pat...

Astrea: A MOE-based Visual Understanding Model with Progressive Alignment

Vision-Language Models (VLMs) based on Mixture-of-Experts (MoE) architectures have emerged as a pi...

OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models

Recent advancements in unified multimodal understanding and visual generation (or multimodal gener...

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