Military Medicine

Digital Twins as the Implementation Layer of Precision Medicine in Pediatric Neurosurgery.

Pediatric neurosurgery increasingly utilizes precision medicine, but practitioners encounter challenges in translating complex data into individualized care. Digital twin (DT) bridges this gap by linking real-world data to a dynamic patient in-silico model, facilitating prediction and adaptive management as new data emerge. This narrative review explores the essential features of DTs, highlighting...

Current themes of AI in mental health: Actionable evidence and guardrails for mood and anxiety care.

Currently, artificial intelligence (AI) is clinically relevant to mood and anxiety care, but the evidence base is uneven across use cases. This narrative review synthesizes recent literature most relevant to clinicians and investigators. Five themes dominate the current field: patient-facing adjunctive tools, failure modes and safety risks, clinician-facing decision support, passive sensing and me...

Editorial Commentary: Traveling to A New Dimension in Anterior Cruciate Ligament Injury Risk Stratification: Holistic 3-Dimensional Knee Phenotyping via Automated Artificial Intelligence Pipelines.

Morphologic risk stratification for anterior cruciate ligament injury has historically relied upon isolated two-dimensional radiographic parameters (e...

Artificial Intelligence in Peripheral Artery Disease: A Science Advisory From the American Heart Association.

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved risk stratification, more t...

Natural Language Processing of Clinical Notes for Cancer Research and Patient Care Prior to Widespread Adoption of Generative AI: Scoping Review.

BACKGROUND: Clinical notes are the most abundant data type within electronic health records; however, their highly unstructured format presents signif...

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...

Hessian-guided mixed-precision quantization of vision transformers under hardware constraints.

Vision transformers (ViTs) have attracted increasing attention in visual tasks due to their strong global modeling capability. However, compared with ...

Development and external validation of an interpretable early prediction model for acute kidney injury using TabPFN and routine admission data: a retrospective cohort study.

BACKGROUND: Acute kidney injury (AKI) is a common and serious complication among hospitalized patients, and early risk stratification remains challeng...

Addressing the Treatment Gap for Pediatric Headache in Underserved Regions.

PURPOSE OF REVIEW: This review explores innovative strategies to address the treatment gap for pediatric headache disorders in underserved regions wor...

AI-enabled wireless wearable breathing sensor for breathing pattern recognition.

This paper presents an AI-driven multisensor wearable system for real-time breathing pattern recognition by integrating an inertial measurement unit (...

Reining In Unbridled AI Enthusiasm: Protecting the Integrity of Rehabilitation Science & Clinical Care.

Enthusiasm for artificial intelligence (AI) applications in rehabilitation medicine has accelerated rapidly, from 22 publications in 2015 to 1,449 in ...

Deep learning models for acute kidney injury prediction: multi-center external validation and evaluation under simulated continuous monitoring conditions.

Acute kidney injury (AKI) is a common hospital complication with substantial morbidity and mortality. Deep learning models for AKI prediction show str...

Artificial intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy.

Chagas disease affects 6-7 million people worldwide and causes approximately 12,000 deaths annually. Diagnostic methods vary by disease stage, with se...

From Pilot Trap to Institutional Capacity: A Governance Framework for Sustainable Clinical AI Implementation in Health Systems.

Clinical artificial intelligence (AI) applications frequently fail to transition from short-term pilot projects into sustained components of routine c...

Smartphone-based lightweight AI system for real-time multiple anterior segment disease screening: development and real-world validation.

BACKGROUND: Anterior segment diseases are a major global cause of preventable blindness, especially in regions with limited access to specialized opht...

Examining the utility of digital phenotyping for the prediction of intrusive experiences.

Background: Intrusive experiences related to witnessing a traumatic event are the core symptom of post-traumatic stress disorder (PTSD), and have been...

Accurate estimation of hip range of motion using MediaPipe and inertial sensors with machine learning models.

Accurate, objective assessment of hip joint range of motion (ROM) is essential for orthopedic diagnosis and rehabilitation. Conventional tools, such a...

Executive summary of the 2026 consensus document. Planning the future of Internal Medicine: A position statement of the International Forum of Internal Medicine (FIMI).

The International Forum of Internal Medicine (FIMI) presents a position paper that analyzes the current state and projects the future of Internal Medi...

When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion.

BACKGROUND: Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophanc...

Adaptive homomorphic federated learning framework for multi-institutional medical imaging with optimized diagnostic accuracy.

The growing use of artificial intelligence (AI) in medicine has highlighted the imperative for privacy-preserving and high-accuracy diagnostic systems...