Public Health & Policy

Military Medicine

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

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Deep analysis of FANTOM CAGE data reveals hierarchical patterns of TSS co-deployment hubs and their disruption in cancers

Selective deployment of multiple transcription start sites is a major regulatory feature of human tr...

A Blood-Based Transcriptomic Signature for PTSD Classification Using Machine Learning

Post-traumatic stress disorder (PTSD) remains a significant psychiatric burden; despite growing biom...

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility

Generative AI systems achieve impressive performance on standard benchmarks yet fail to deliver real...

Safety and accuracy follow different scaling laws in clinical large language models

Clinical LLMs are often scaled by increasing model size, context length, retrieval complexity, or in...

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI

Large language models (LLMs) show promise in radiology but their deployment is limited by computatio...

Quantum-Inspired Robust and Scalable SAR Object Classification

SAR image classification naturally has to deal with huge noise and a high dynamic range particularly...

Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement

Image enhancement models for mobile devices often struggle to balance high output quality with the f...

Efficient INT8 Single-Image Super-Resolution via Deployment-Aware Quantization and Teacher-Guided Training

Efficient single-image super-resolution (SISR) requires balancing reconstruction fidelity, model com...

Explainable Fall Detection for Elderly Care via Temporally Stable SHAP in Skeleton-Based Human Activity Recognition

Fall detection in elderly care requires not only accurate classification but also reliable explanati...

Cross-Cohort Generalizability of Plasma Biomarker Machine Learning Models Reveals Calibration-Driven Degradation in Clinical Utility

BackgroundPlasma biomarkers demonstrate strong within-cohort performance for identifying cerebral am...

CIR: Lightweight Container Image for Cross-Platform Deployment

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

Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognition

Synthetic Aperture Radar (SAR) image recognition is vital for disaster monitoring, military reconnai...

Beyond Detection: Ethical Foundations for Automated Dyslexic Error Attribution

Dyslexic spelling errors exhibit systematic phonological and orthographic patterns that distinguish ...

Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognition

Synthetic Aperture Radar (SAR) image recognition is vital for disaster monitoring, military reconnai...

A Deployable Explainable Deep Learning System for Tuberculosis Detection from Chest X-Rays in Resource-Constrained High-Burden Settings

Abstract Objectives: To develop and evaluate a deployable deep learning system with Gradient-weighte...

Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins

Background: LLMs enable patient-facing conversational agents, creating a pathway toward digital twin...

Sim-to-Real Fruit Detection Using Synthetic Data: Quantitative Evaluation and Embedded Deployment with Isaac Sim

This study investigates the effectiveness of synthetic data for sim-to-real transfer in object detec...

CARE: Training-Free Controllable Restoration for Medical Images via Dual-Latent Steering

Medical image restoration is essential for improving the usability of noisy, incomplete, and artifac...

SDD-YOLO: A Small-Target Detection Framework for Ground-to-Air Anti-UAV Surveillance with Edge-Efficient Deployment

Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents sign...

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