Military Medicine

Deep-learning triage of three-dimensional pathology datasets for comprehensive and efficient pathologist assessments.

Standard slide-based two-dimensional (2D) histopathology severely undersamples spatially heterogeneous tissue, with each thin 2D section representing <1% of the entire biopsy volume. Recent advances in non-destructive three-dimensional (3D) pathology, such as open-top light-sheet microscopy, enable comprehensive high-resolution imaging of large clinical specimens. Since manual review of these mass...

Accelerating ambient AI scribe enterprise-scale deployment: Cleveland Clinic's novel approach to health system-industry partnership.

Artificial intelligence scribes are increasingly common in clinical settings, but a blueprint for deploying them efficiently at scale is lacking. We share information about the Cleveland Clinic's vendor-health system deployment partnership consisting of four pillars: governance, training and onboarding, support, and real time learning. This partnership enabled deployment and onboarding of over 400...

Perspective: The Future of Peritoneal Dialysis in the Era of Telemedicine and Artificial Intelligence.

Peritoneal dialysis (PD) represents one of the major modalities for home-based renal replacement therapy, offering autonomy and flexibility to patient...

Critical Care-Specific vs General-Purpose Large Language Models in Emergency Intensive Care Unit Diagnosis: Single-Center Retrospective Paired Comparative Study.

BACKGROUND: The emergency intensive care unit (EICU) manages the most critically ill patients, where rapid and accurate diagnosis is essential yet cha...

Benchmarking large language models for question answering on German clinical practice guidelines.

OBJECTIVES: Clinical practice guidelines are a cornerstone of evidence-based medicine, yet their implementation in routine care remains inconsistent. ...

Comparative effectiveness of ambient documentation tools in primary care tool-specific variations in efficiency, documentation burden, and productivity over time.

OBJECTIVES: To evaluate the comparative effectiveness of ambient documentation tools (ADTs) with distinct architectures (Tablet-Based Virtual Human-As...

Inpatient Nurses' Anticipatory Perspectives on Assistive Robots: Qualitative Study.

BACKGROUND: Assistive robots have been proposed to support nursing work by offloading routine, logistical, and physically demanding tasks. However, ex...

Building a Natural Language Processing Augmented Information Support System to Enhance Supportive Care for Patients With Prostate Cancer and Families: User-Centered, Iterative Approach.

BACKGROUND: Patients with prostate cancer and their families face significant challenges during transitions from diagnosis to treatment and posttreatm...

Ethical aspects of artificial intelligence use in neonatal intensive care units: a scoping review.

UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neo...

ChatGPT and Large Language Models in Contemporary Nursing.

OBJECTIVES: This narrative review synthesizes published evidence on the applications, benefits, limitations and governance considerations of ChatGPT a...

Conversational Capacity in Triadic Telemedicine: A Conceptual Framework and Evidence Synthesis.

BACKGROUND: Telemedicine is conventionally modeled as a dyadic clinician-patient encounter, yet a third party-caregiver, community health worker, nurs...

Evaluation Methods for Inference-Time Retrieval-Augmented and Graph Retrieval-Augmented Large Language Models in Health Care: Scoping Review.

BACKGROUND: Inference-time retrieval augmentation is increasingly used to improve the traceability and verifiability of large language model (LLM) app...

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges...

Optimizing Cancer Drug Treatments Using Big Data Integration of Genomic and Clinical Data for Personalized Medicine.

Personalized cancer care depends on the seamless integration of genetic profiles, medical histories, and continuous patient monitoring to optimize the...

Global Diabetes: Rapidly Changing Landscape and a Rising Tide of Opportunities: The 2025 Distinguished International Service in the Cause of Diabetes Award Lecture.

Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- and middle-income countries (LMICs), with major heal...

Advancing oncology education in low-income and middle-income African settings: global insights for local action.

Cancer incidence and mortality are rising globally, with their burden falling disproportionately on low-income and middle-income countries. Africa fac...

Toward diagnostic precision and context-adaptive therapy in prehospital supraventricular tachycardia.

The recent scoping review by Gamberini et al. provides a comprehensive overview of the prehospital diagnosis and management of supraventricular tachyc...

Balancing technical and social controls across performance measurement and management stages: a bibliometric synthesis of digitally enabled healthcare performance management.

PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, ...

Machine Learning Model for Predicting Suicide Risks Among Patients With Posttraumatic Stress Disorder Who Received Opioids.

BACKGROUND: The cooccurrence of posttraumatic stress disorder (PTSD) and opioid use heightens suicide risk. We aimed to develop and validate a machine...

Deep learning segmentation with curvature consistency reveals astrocyte nanostructure across species.

Cellular function depends on the precise deployment and distribution of nanoscale structures, but these features remain difficult to measure and compa...