Military Medicine

Large language models for generating longitudinal synthetic data in low-risk pregnancy care.

This article describes an obstetric dataset covering the full continuum of care of 5000 synthetic low-risk pregnant women, from preconception to post-birth follow-up, generated using a large language model with zero-shot prompting. It includes trimester-specific clinical measurements, such as gestational weight, hemoglobin levels, glucose testing, anemia markers, and body mass index, as well as va...

No-reflow phenomenon during percutaneous coronary intervention: Contemporary insights into mechanisms, prediction, and management.

No-reflow phenomenon remains a common and prognostically adverse complication of percutaneous coronary intervention (PCI), characterized by impaired myocardial perfusion despite restored epicardial coronary flow. It reflects multifactorial microvascular injury involving distal atherothrombotic embolization, ischemia-reperfusion-related endothelial swelling and edema, dynamic microvascular vasocons...

Impact of Availability of Computer-Aided Detection Devices on Adenoma Detection During Colonoscopy: A Cluster Randomized Study.

BACKGROUND AND AIMS: Endoscopists' colonoscopy adenoma detection rates (ADR) are inversely associated with their patients' risk of post-colonoscopy co...

Development of a deep learning based framework for classification of Indian venomous snakes integrated with explainable artificial intelligence for primary and emergency care providers.

BACKGROUND: Snakebite envenoming is a significant global health crisis that has been long neglected as a global health priority. It is a huge problem ...

Results of a new model of videotraining for patients and caregivers for peritoneal dialysis: food for (AI) thought?

BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a new telemedicine home-training model (Videotraining...

Early Deployment of an Integrated Digital Platform (shamiriOS) for Scalable Youth Mental Health Service Delivery in Kenya: Development and Usability Study.

BACKGROUND: Scaling youth mental health services in low-resource settings requires digital infrastructure that supports not just clinical delivery but...

Human-AI Interaction in Low- and Middle-Income Countries: Qualitative Study of How Local Human Factors Influence AI Development and Deployment.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming health care and health research, offering new opportunities for improving efficiency,...

How machine learning applied on fMRI could improve the prognosis of the post-traumatic stress disorder: A systematic review.

BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a significant proportion of the population worldwide. De...

Confidence Measurement Metrics in Multimodal Large Language Models for Ultrasound-Based Radiology Cases: Comparative Evaluation Study of Self-Reported, Consistency-Based, and Hybrid Methods.

BACKGROUND: Large language models (LLMs) require specialized methodologies to quantify model confidence for safe deployment in health care systems; ho...

MedNet-FS: a few-shot learning framework for 3D MRI-based knee injury classification.

The development of deep learning models for 3D knee MRI analysis is critically constrained by the scarcity of large, annotated datasets. Few-shot lear...

Prediction models for postpartum post-traumatic stress disorder: a systematic review and meta-analysis.

BACKGROUND: Despite the increasing number of studies on prediction models for identifying the risk of postpartum post-traumatic stress disorder (PP-PT...

Digital epidemiology investments, Saudi Arabia.

PROBLEM: Traditional epidemiological surveillance methods are often limited by delays in reporting and fragmented data systems. Saudi Arabia faces add...

Artificial intelligence in cardiovascular care for internal medicine: from promising algorithms to useful clinical services.

Artificial intelligence is expanding rapidly in cardiovascular medicine, but its value in internal medicine depends less on raw model performance than...

Reproducible workflow for online artificial intelligence in digital health.

Online artificial intelligence (AI) algorithms are an important component of digital health interventions. These online algorithms are designed to con...

Current trends in machine learning for surface-enhanced Raman spectroscopy.

Surface-enhanced Raman spectroscopy (SERS) is being transformed by the widespread adoption of artificial intelligence across the full methodological s...

UAV-based RGB and multispectral mango leaf disease detection with benchmarking of YOLOv5 to YOLOv10 and SeqOpt-optimised YOLOv8 for real-time edge deployment.

The article presents a real-time mango leaf disease detection framework with embedded edge deployment, using UAV-based multispectral imaging combined ...

Fully Biobased, Robust, and High-Conductivity Hydrogel for High-Fidelity Electrophysiological Monitoring and Deep Learning-Assisted Stroke Rehabilitation.

Developing sustainable bioelectronics that simultaneously integrate mechanical robustness, high conductivity, biocompatibility, and system-level funct...

Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Radiology.

Artificial intelligence (AI) has progressed from technical research to routine clinical use, reaching an inflection point where technological capabili...

Detection of Microbehavior Intervals for Predicting Mental Health: Clinically Relevant and Advanced Multimodal Temporal Analysis.

BACKGROUND: Health care workers (HCWs) face sustained psychological demands that place them at heightened risk for burnout and posttraumatic stress di...

Rerouting Eye Care: How AI and Telemedicine Are Reshaping Ophthalmology Patient Journeys in the United Kingdom and Germany.

Artificial intelligence (AI) as a medical device is now progressively entering routine ophthalmic care, yet its impact is still mostly evaluated in te...