Public Health & Policy

Military Medicine

Latest AI and machine learning research in military medicine for healthcare professionals.

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Utsarjan: A smartphone App for providing kidney care and real-time assistance to children with nephrotic syndrome

Background Telemedicine has the potential to provide secure and cost-effective healthcare at the t...

3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark

Large Vision-Language Models (LVLMs) are increasingly being explored for applications in telemedic...

ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing

Effective training and debriefing are critical in high-stakes, mission-critical environments such ...

When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research

We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS...

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term Mobility Estimation in Critical Care

Patient mobility monitoring in intensive care is critical for ensuring timely interventions and im...

QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter

Medical image segmentation, particularly tumor segmentation, is a critical task in medical imaging...

Artificial intelligence and digital tools for design and execution of cardiovascular clinical trials.

Recent advances have given rise to a spectrum of digital health technologies that have the potential...

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A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging

Detection and classification of pulmonary nodules is a challenge in medical image analysis due to ...

Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies

In recent years, vision transformers (ViTs) have emerged as powerful and promising techniques for ...

Tool or Tutor? Experimental evidence from AI deployment in cancer diagnosis

Professionals increasingly use Artificial Intelligence (AI) to enhance their capabilities and assi...

A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare

The application of large language models (LLMs) in healthcare has the potential to revolutionize c...

Bibliometric Analysis of Scientific Production on the COVID-19 Effect in Information Sciences

This paper analyzes the scientific production on the COVID-19 effect in the area of Information Sc...

MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation

Generative Artificial Intelligence (AI) has gained significant attention in recent years, revoluti...

Vision-Language Models for Edge Networks: A Comprehensive Survey

Vision Large Language Models (VLMs) combine visual understanding with natural language processing,...

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions

Individual's general well-being is greatly impacted by mental health conditions including depressi...

Deep learning model for ECG reconstruction reveals the information content of ECG leads

This study introduces a deep learning model based on the U-net architecture to reconstruct missing...

FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities

Effective traffic signal control (TSC) is crucial in mitigating urban congestion and reducing emis...

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