Public Health & Policy

Military Medicine

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

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Telemedicine in China: Effective indicators of telemedicine platforms for promoting health and well-being among healthcare consumers.

OBJECTIVE: Telemedicine platforms played a crucial role during the COVID-19 pandemic, alleviating is...

Jan 2025 40351848
Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study.

CONTEXT AND BACKGROUND: Depression has affected millions of people worldwide and has become one of t...

Jan 2025 40435349
Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU.

The rapid growth of Android applications has led to an increase in security threats, while tradition...

Jan 2025 40388500
Digital transformation in healthcare management: from Artificial Intelligence to blockchain.

The digital transformation of healthcare is revolutionizing the management of medical institutions, ...

Jan 2025 40219885
xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of Explainability

Reinforcement learning (RL) has shown great promise in simulated environments, such as games, wher...

[A study on post-traumatic stress disorder classification based on multi-atlas multi-kernel graph convolutional network].

Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, mak...

Dec 2024 40000199
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment

As Large Language Models (LLMs) demonstrate exceptional performance across various domains, deploy...

A Machine Learning Approach for Emergency Detection in Medical Scenarios Using Large Language Models

The rapid identification of medical emergencies through digital communication channels remains a c...

MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents

Physical adversarial attacks in driving scenarios can expose critical vulnerabilities in visual pe...

Quantum Threat in Healthcare IoT: Challenges and Mitigation Strategies

The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, e...

Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications

With the rapid advancement of artificial intelligence and deep learning, medical image analysis ha...

Designing DNNs for a trade-off between robustness and processing performance in embedded devices

Machine learning-based embedded systems employed in safety-critical applications such as aerospace...

Assessing Foundation Models' Transferability to Physiological Signals in Precision Medicine

The success of precision medicine requires computational models that can effectively process and i...

Assessing diagnostic performance for common skin diseases using an AI-assisted tele-expertise platform: a proof of concept.

Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatolog...

Dec 2024 39912464
Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

Nov 2024 39809211
Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance.

There is growing excitement about the clinical use of artificial intelligence and machine learning (...

Nov 2024 38995050
Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI

AI has made significant strides recently, leading to various applications in both civilian and mil...

Advancing Biomedical Signal Security: Real-Time ECG Monitoring with Chaotic Encryption

The real time analysis and secure transmission of electrocardiogram (ECG) signals are critical for...

On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance

To help MLOps engineers decide which operator to use in which deployment scenario, this study aims...

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