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Military Medicine

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

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MS-YOLO: A Multi-Scale Model for Accurate and Efficient Blood Cell Detection

Complete blood cell detection holds significant value in clinical diagnostics. Conventional manual...

Large Language Models in Integrative Medicine: Progress, Challenges, and Opportunities.

Integrating Traditional Chinese Medicine (TCM) and Modern Medicine faces significant barriers, inclu...

Jun 2025 40384541
[EVALUATION OF SCREENING FOR PTSD USING CONSORT AI RECOMMENDATIONS WITH A LARGE LANGUAGE MODEL].

Similar to major natural disasters and large-scale wars, the events of October 7th and the retaliato...

Jun 2025 40530627
Revolutionising osseous biopsy: the impact of artificial intelligence in the era of personalized medicine.

In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnosti...

Jun 2025 39878877
Artificial Intelligence in the Clinic: Creating Harmony or Just Adding Noise?

Although still limited, the integration of artificial intelligence (AI) in health care has rapidly e...

Jun 2025 40397845
A deployment safety case for AI-assisted prostate cancer diagnosis.

Deep learning (DL) has the potential to deliver significant clinical benefits. In recent years, an i...

Jun 2025 40345136
The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective

Retinal imaging has emerged as a powerful, non-invasive modality for detecting and quantifying bio...

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation

Foundation models like CLIP (Contrastive Language-Image Pretraining) have revolutionized vision-la...

Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs

Transformer-based models have shown strong performance across diverse time-series tasks, but their...

Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs

Transformer-based models have shown strong performance across diverse time-series tasks, but their...

The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support

Can small language models with 0.5B to 5B parameters meaningfully engage in trauma-informed, empat...

Application of AI Chatbot in Responding to Asynchronous Text-Based Messages From Patients With Cancer: Comparative Study.

BACKGROUND: Telemedicine, which incorporates artificial intelligence such as chatbots, offers signif...

May 2025 40397947
ComBAT Harmonization for diffusion MRI: Challenges and Best Practices

Over the years, ComBAT has become the standard method for harmonizing MRI-derived measurements, wi...

Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review

Suicide remains one of the main preventable causes of death among active service members and veter...

Telecardiology unleashed: probing the depths of effectiveness in remote monitoring and telemedicine applications for acute cardiac conditions.

Telecardiology has emerged as a promising approach in acute cardiac care through advancements in dig...

May 2025 40377047
Overview of Master's Theses in Medical Informatics in Portugal: An 18-Year Synthesis.

This study analyzes 159 master's theses in Medical Informatics from the University of Porto, spannin...

May 2025 40380661
Tracking Conditioned Fear in Pair-Housed Mice Using Deep Learning and Real-Time Cue Delivery.

Post-traumatic stress disorder (PTSD) is a complex and prevalent neuropsychiatric condition that ari...

May 2025 40463247
Examining Deployment and Refinement of the VIOLA-AI Intracranial Hemorrhage Model Using an Interactive NeoMedSys Platform

Background: There are many challenges and opportunities in the clinical deployment of AI tools in ...

Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care.

The integration of large language models (LLMs) into health care offers tremendous opportunities to...

May 2025 40366259
TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching

Patient recruitment remains a major bottleneck in clinical trials, calling for scalable and automa...

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