Public Health & Policy

Military Medicine

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

3,918 articles
Stay Ahead - Weekly Military Medicine research updates
Subscribe
Browse Categories
Showing 631-651 of 3,918 articles
From Plausibility to Verifiability: Risk-Controlled Generative OCR for Vision-Language Models

Modern vision-language models (VLMs) can act as generative OCR engines, yet open-ended decoding can ...

From Concept to Clinic: Real World Evidence for Autonomous AI Deployment in Primary Care Telemedicine

Systems powered by large language models are widely used for health information and advice, yet robu...

ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding

Everyday photographs taken with ordinary cameras are already widely used in telemedicine and other o...

DeepCORO-CLIP: A Multi-View Foundation Model for Comprehensive Coronary Angiography Video-Text Analysis and External Validation

Coronary angiography is the reference standard for evaluating coronary artery disease, yet visual in...

Safe Distributionally Robust Feature Selection under Covariate Shift

In practical machine learning, the environments encountered during the model development and deploym...

Toward Clinically Ready Foundation Models in Medical Image Analysis: Adaptation Mechanisms and Deployment Trade-offs

Foundation models (FMs) have demonstrated strong transferability across medical imaging tasks, yet t...

Deployment-Time Reliability of Learned Robot Policies

Recent advances in learning-based robot manipulation have produced policies with remarkable capabili...

An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS

Recently, progress has been made on the Intra Pattern Copy (IPC) tool for JPEG XS, an image compress...

Evaluating Few-Shot Pill Recognition Under Visual Domain Shift

Adverse drug events are a significant source of preventable harm, which has led to the development o...

Trustworthy personalized treatment selection: causal effect-trees and calibration in perioperative medicine

Background Personalized medicine promises to tailor treatments to the individual, but it carries a h...

Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods

Scientific discovery pipelines typically involve complex, rigid, and time-consuming processes, from ...

Task-Agnostic Continual Learning for Chest Radiograph Classification

Clinical deployment of chest radiograph classifiers requires models that can be updated as new datas...

A Deployment-Friendly Foundational Framework for Efficient Computational Pathology

Pathology foundation models (PFMs) have enabled robust generalization in computational pathology thr...

In Transformer We Trust? A Perspective on Transformer Architecture Failure Modes

Transformer architectures have revolutionized machine learning across a wide range of domains, from ...

Safety and Utility of an Agentic Large Language Model-Based Hospital Course Summarizer: A Prospective Real-World Pilot Study

Importance: High-quality discharge summaries are essential for safe care transitions but contribute ...

RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Robots

Deploying learned control policies on humanoid robots is challenging: policies that appear robust in...

Development and implementation of an AI system for clinical toxicology sign-outs

Modern natural language tools have potential to improve clinical workflows, but few have been succes...

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based t...

A Mobile AI-enhanced Platform for Standardized Wound Assessment and Clinical Decision Support

Chronic wounds affect over 1.2 million Canadians and incur healthcare costs exceeding $13 billion an...

Browse Categories