Pain Management

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

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Exploring Remote Photoplethysmography for Neonatal Pain Detection from Facial Videos

Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower w...

ZID-Net: Zero-Inference Diffusion Prior Decoupling Network for Single Image Dehazing

Single image dehazing is often constrained by a trade-off between restoration quality and computatio...

Recovering Clinical Detail in AI-Generated Responses for Low Back Pain Through Prompt Design

Introduction Large language models are increasingly being used in healthcare. In interventional pain...

Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA

Medical Visual Question Answering (MedVQA) aims to generate clinically reliable answers conditioned ...

Hero-Mamba: Mamba-based Dual Domain Learning for Underwater Image Enhancement

Underwater images often suffer from severe degradation, such as color distortion, low contrast, and ...

Knowing When Not to Answer: Evaluating Abstention in Multimodal Reasoning Systems

Effective abstention (EA), recognizing evidence insufficiency and refraining from answering, is crit...

Reinforcement learning for closed-loop optimisation of spatiotemporal stimulation in patterned neuronal networks

Understanding how neuronal circuits transform inputs into outputs requires systematic perturbation u...

Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal Models

Unified multimodal models (UMMs) were designed to combine the reasoning ability of large language mo...

Test-time Scaling over Perception: Resolving the Grounding Paradox in Thinking with Images

Recent multimodal large language models (MLLMs) have begun to support Thinking with Images by invoki...

CIR: Lightweight Container Image for Cross-Platform Deployment

In modern cloud and heterogeneous distributed infrastructures, container images are widely used as t...

Mosaic: Multimodal Jailbreak against Closed-Source VLMs via Multi-View Ensemble Optimization

Vision-Language Models (VLMs) are powerful but remain vulnerable to multimodal jailbreak attacks. Ex...

ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion

Chest X-ray report generation (CXR-RG) has the potential to substantially alleviate radiologists' wo...

Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction

In computed tomography imaging, metal implants frequently generate severe artifacts that compromise ...

Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning

Multimodal contrastive learning is increasingly enriched by going beyond image-text pairs. Among rec...

Development and Temporal Evaluation of Multimodal Machine Learning Models to Predict High Inpatient Opioid Exposure

High inpatient opioid exposure is associated with increased risk of persistent opioid use. Early ide...

Evolutionary exploration of drug-like chemical space utilizing generative AI and virtual screening

The identification of suitable lead molecules in the vast chemical space is a critical and challengi...

Medical errors in large language models revealed using 1,000 synthetic clinical transcripts

Current clinical evaluations of large language models (LLMs) rely on datasets which fail to reflect ...

Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentation

Accurate segmentation of coronary arteries from computed tomography angiography (CTA) images is of p...

BAF complexes maintain accessibility at stimulus-responsive chromatin and are required for transcriptional stimulus responses

Background Gene expression changes in response to developmental and environmental cues rely on cis-r...

Timestep-Aware Block Masking for Efficient Diffusion Model Inference

Diffusion Probabilistic Models (DPMs) have achieved great success in image generation but suffer fro...

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