Public Health & Policy

Military Medicine

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

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Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management

Clinical machine learning deployment across institutions faces significant challenges when patient...

A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition

The deployment of neural networks in vehicle platforms and wearable Artificial Intelligence-of-Thi...

Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling

The crisis of mental health issues is escalating. Effective counseling serves as a critical lifeli...

Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis

Tongue diagnosis is a vital tool in Western and Traditional Chinese Medicine, providing key insigh...

Region of Interest based Medical Image Compression

The vast volume of medical image data necessitates efficient compression techniques to support rem...

A Study about Distribution and Acceptance of Conversational Agents for Mental Health in Germany: Keep the Human in the Loop?

Good mental health enables individuals to cope with the normal stresses of life. In Germany, appro...

Cancer Alpha: A Production-Ready AI System for Multi-Modal Cancer Genomics Classification

The integration of multi-modal genomic data for cancer classification remains challenging in precisi...

Your Emotions, My Brain: Generalizable Neural Signatures of Emotional Memory Reactivation During Sleep

Reactivation in sleep alters the structure of memories and can potentially be used to restructure up...

Detection dog performance state estimation from pre-stimulus video and physiological signals using deep learning and Bayesian inference

Detection dogs play a critical role in operational settings ranging from explosives detection to med...

Grounded large language models for diagnostic prediction in real-world emergency department settings

Emergency departments face increasing pressures from staff shortages, patient surges, and administra...

Machine Learning in Psychiatric Health Records: A Gold Standard Approach to Trauma Annotation

Psychiatric electronic health records present unique challenges for machine learning due to their un...

Artificial Intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy

Chagas disease affects 6–7 million people worldwide and causes approximately 12,000 deaths annually....

Revolutionizing COPD and Asthma Management with Artificial Intelligence

The integration of artificial intelligence (AI) into the management of chronic obstructive pulmonary...

Informed Injury Prediction in Elite Football: Decision Theory meets Machine Learning

Injuries in elite sports disrupt team performance, shorten careers, and incur significant financial ...

Changes in psychiatric documentation and treatment in primary care with artificial intelligence scribe use

Despite increasingly widespread use of artificial intelligence-driven ambient scribes in medicine, t...

Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions

Artificial intelligence (AI) has the potential to revolutionize clinical decision-making and signifi...

Large-scale Local Deployment of DeepSeek-R1 in Pilot Hospitals in China: A Nationwide Cross-sectional Survey

The open-source release of DeepSeek-R1, a high-performing large language model (LLM), enables local ...

Large Language Models in Real-World Clinical Workflows: A Systematic Review of Applications and Implementation

Large language models (LLMs) offer promise for enhancing clinical care by automating documentation, ...

Artificial Intelligence-Driven Innovations in Diabetes Care and Monitoring

This study explores Artificial Intelligence (AI)’s transformative role in diabetes care and monitori...

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