Pain Management

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

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MedSPOT: A Workflow-Aware Sequential Grounding Benchmark for Clinical GUI

Despite the rapid progress of Multimodal Large Language Models (MLLMs), their ability to perform rel...

Opioids Overdose Death Prediction with Graph Neural Networks

The opioid crisis has severely impacted Ohio, with overdose death rates surpassing national averages...

Automated derivation of mean field models from spiking neural networks for the simulation of brain dynamics

A mean field model (MFM) is a mesoscopic description of neuronal population dynamics that can reduce...

BioReason-Pro: Advancing Protein Function Prediction with Multimodal Biological Reasoning

Protein function annotation is fundamental to understanding biological mechanisms, designing therape...

X-Cell: Scaling Causal Perturbation Prediction Across Diverse Cellular Contexts via Diffusion Language Models

Causal models of cellular systems hold the promise to empower broad biological discovery, including ...

VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification

Deploying deep learning models on embedded devices for tasks such as aerial disaster monitoring and ...

HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction

Recent advances in multimodal learning have significantly improved cancer survival risk prediction. ...

Micro-AU CLIP: Fine-Grained Contrastive Learning from Local Independence to Global Dependency for Micro-Expression Action Unit Detection

Micro-expression (ME) action units (Micro-AUs) provide objective clues for fine-grained genuine emot...

HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction

Recent advances in multimodal learning have significantly improved cancer survival risk prediction. ...

MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement

Cross-view geo-localization (CVGL) aims to accurately localize street-view images through retrieval ...

Beyond Convolution: A Taxonomy of Structured Operators for Learning-Based Image Processing

The convolution operator is the fundamental building block of modern convolutional neural networks (...

DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification

Histopathology remains the gold standard for cancer diagnosis because it provides detailed cellular-...

Beyond Convolution: A Taxonomy of Structured Operators for Learning-Based Image Processing

The convolution operator is the fundamental building block of modern convolutional neural networks (...

Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models

Any-to-Any models are an emerging class of multimodal models that accept combinations of multimodal ...

RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images

Salient object detection (SOD) in remote sensing images faces significant challenges due to large va...

Multimodal Graph Representation Learning with Dynamic Information Pathways

Multimodal graphs, where nodes contain heterogeneous features such as images and text, are increasin...

GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis

Computer-aided diagnosis (CADx) has become vital in medical imaging, but automated systems often str...

Exploring Electroencephalography for Chronic Pain Biomarkers: A Large-Scale Benchmark of Data- and Hypothesis-Driven Models

Resting-state electroencephalography (EEG) has been proposed as a scalable source of biomarkers for ...

Tabular foundation model predicts alternative lengthening of telomeres (ALT) and identifies SMARCAL1 as a target in ALT-driven cancers

Alternative lengthening of telomeres (ALT) is a telomerase-independent pathway used by aggressive ca...

Trustworthy personalized treatment selection: causal effect-trees and calibration in perioperative medicine

Background Personalized medicine promises to tailor treatments to the individual, but it carries a h...

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