Public Health & Policy

Military Medicine

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

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Telemedicine Supported Chronic Wound Tissue Prediction Using Classification Approaches.

Telemedicine helps to deliver health services electronically to patients with the advancement of com...

Jan 2016 26728394
Telemedicine as a special case of machine translation.

Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine...

Sep 2015 26617328
FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Recently, the use of social media for health information exchange is expanding among patients, physi...

Sep 2015 26330225
Combining conceptual graphs and argumentation for aiding in the teleexpertise.

Current medical information systems are too complex to be meaningfully exploited. Hence there is a n...

May 2015 26087470
Negative Affect Instability among Individuals with Comorbid Borderline Personality Disorder and Posttraumatic Stress Disorder.

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective inst...

Apr 2015 26904388
Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensi...

Apr 2015 25885369
Bridging a translational gap: using machine learning to improve the prediction of PTSD.

BACKGROUND: Predicting Posttraumatic Stress Disorder (PTSD) is a pre-requisite for targeted preventi...

Mar 2015 25886446
Robotic telepresence versus standardly supervised stroke alert team assessments.

BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities...

Dec 2014 25490742
CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation

Customized image editing aims to equip pre-trained diffusion models with specific visual effects usi...

Quantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer Learning from Specific Phobia Data

Posttraumatic stress disorder (PTSD) is a prevalent and debilitating mental health condition with si...

Deployment-complete benchmarking

Benchmarks increasingly guide deployment, procurement and scientific screening, yet a score supports...

ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data

Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under s...

SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection

Despite strong predictive results in the clinical machine learning literature, the translation of th...

Language-dependent diagnostic safety of medical AI systems: a cross-lingual benchmarking and prospective clinical study

Background Patients worldwide receive healthcare in many languages, yet medical AI systems are valid...

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...

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