Product Alert

Precision Transfusion Medicine in the Omics Era.

Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component manufacturing, traceability, and hemovigilance. Yet blood is still often treated primarily as a commodity, collected, processed, stored, and transfused, rather than as a dynamic biologic product rich in molecular information. This Perspective argues tha...

Operationalizing AI-Assisted Polypharmacy Review in Post-Acute and Long-Term Care: A 4Ms-Based, NP-Led Workflow.

Polypharmacy in post-acute and long-term care (PA/LTC) is common and is associated with falls, delirium, hospitalization, functional decline, and mortality. In these settings, clinicians must identify drug-drug interactions (DDIs), potentially inappropriate medications (PIMs), renal dosing concerns, and medication contributors to new symptoms under time pressure and during frequent care transition...

Leveraging data-driven risk-adapted surveillance strategies after disease progression in locally advanced rectal cancer.

BACKGROUND: Post-progression survival (PPS) is a critical endpoint in oncology, yet predictors of PPS and data-driven strategies for post-progression ...

Machine Learning-Based Predictive Model for Functional Independence in Spinal Cord Injury: Protocol for a Predictive Rule Development and Validation Study.

BACKGROUND: Spinal cord injury (SCI) causes substantial disability by disrupting spinal pathways, making functional independence a central rehabilitat...

Evaluation and Comparison of Latent Health Risk Prediction Models for Clinical Triage: Protocol for a Mixed Methods Study.

BACKGROUND: Clinical triage requires integrating multiple information sources to identify patients at risk of deterioration. Tools capturing global he...

Artificial intelligence as a second reader for pneumothorax detection: redirecting rather than reducing chest CT use.

BACKGROUND: Pneumothorax is a finding that is frequently missed in the emergency department, particularly in cases with subtle radiographic features, ...

Technical and clinical feasibility of single-use gastroscopy with real-time AI-based quality monitoring and single-use colonoscopy: a prospective two-center study.

BACKGROUND: Single-use gastrointestinal endoscopes eliminate the need for post-procedure reprocessing and have become an area of interest in endoscopi...

Accelerated use of artificial intelligence-associated vocabulary in Japanese surgical journals after 2023.

PURPOSE: The increased use of artificial intelligence (AI)-based writing tools may influence academic writing styles. This study aimed to evaluate cha...

Explainable AI for Equitable Nurse Scheduling: Pragmatic Pre-Post Implementation Study.

BACKGROUND: Inequitable and time-consuming shift scheduling contributes to nurse burnout, dissatisfaction, and turnover. In Taiwan, annual nurse turno...

Lipid digestion- driven drug fate as a key determinant of SNEDDS performance: Mechanistic basis of absorption and in vitro- in vivo disconnect.

Self-nanoemulsifying drug delivery systems (SNEDDS) represent a major class of lipid-based nanomedicines that are primarily utilised for the enhanceme...

Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map.

BACKGROUND: Artificial intelligence (AI), particularly generative AI and large language models, is increasingly used for assessment-related tasks in m...

User Acceptance of an AI-Powered Medical History-Taking Training System Among Undergraduate Medical Students: Mixed Methods Study.

BACKGROUND: Artificial intelligence (AI)-powered virtual patient systems provide medical students with repeatable practice environments for history-ta...

Dissecting interprofessional anatomy education: insights from AI-driven assessment.

BACKGROUND: In 2024, an 8-week IPE human anatomy dissection elective was offered to first-year students from various health professional programs. Pas...

Reduction in suicides and suicide attempts following implementation of AI-based video surveillance in the Stockholm metro system: an intervention study.

BACKGROUND: Over 700,000 suicides occurring globally each year are a major public health issue. Railways and metros provide a lethal means of suicide,...

Developing a machine learning model to predict renal function decline within three years using one-year longitudinal data in patients with type 2 diabetes.

AIMS: The increasing prevalence of type 2 diabetes mellitus (T2DM) has led to an increase in diabetic kidney disease (DKD), which is presently a major...

Post-stroke rehabilitation in inflammatory rheumatic diseases: outcome measures, digital tools, and patient education perspectives.

Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk ...

Real-World Analysis of Organ Transplantation-Specific Agent Based on Large Language Model in Post-Transplant Self-Management During Off-Hours: A Mixed-Methods Study.

OBJECTIVE: A significant gap exists in medical support for organ transplant patients during out-of-hours (OOH). General large language models (LLMs), ...

Screening and Evaluation of Post-stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science-A Scoping Review.

Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitalization costs and length of stay. Early identificat...

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with survival rates influenced by a variety of factors, including earl...

Impact of Deep Learning-Based Denoising on Image Quality and Diagnostic Confidence in Neurovascular Ultrahigh-Resolution Photon-Counting CT Angiography.

BACKGROUND AND PURPOSE: Ultrahigh-resolution (UHR) photon-counting detector (PCD)-CT angiography enables detailed visualization of the neurovasculatur...