Staffing & Scheduling

Artificial intelligence for research capacity strengthening: Two reviews and a pathway to shift power in global health.

Significant disparities persist in how researchers from low- and middle-income countries (LMICs) and high-income countries (HICs) participate in agenda-setting and knowledge production. Rapid advancement in artificial intelligence (AI) might contribute to improving research capacity in LMICs. This review aimed to synthesize evidence on AI for research capacity strengthening in LMICs towards shifti...

A review of traditional uses, phytoconstituents, bioactivities, and therapeutic potential of Hypecoum erectum L. and Hypecoum leptocarpum Hook.f. & Thomson.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Papaveraceae), includes two source species: Hypecoum leptocarpum Hook.f. & Thomson and Hypecoum erectum L. It is widely distributed across northern, northwestern, and southwestern China, Mongolia, Russia, and many South and West Asian countries. In traditional medical systems, particularly Tibetan and ...

Radiomics Applicability Domain Analysis Classification Framework (RADAN-CF): A method for evaluating prediction reliability in radiomics.

BACKGROUND AND OBJECTIVE: Radiomics-based machine learning models hold promise for clinical decision support, yet their deployment may be limited by t...

Integrating Next-Generation Sequencing into von Willebrand Disease Diagnostics: Insights from the PCM-EVW-ES Multicenter Project.

Von Willebrand disease (VWD) is the most common inherited bleeding disorder, caused by quantitative or qualitative defects in von Willebrand factor (V...

Explainable clustering and ranking of student satisfaction in online learning: a hybrid FAHP-TOPSIS and SHAP-LIME approach.

The rapid transition to online learning has intensified the need to understand the multifaceted drivers of student satisfaction in virtual education e...

Thermo-Sensitive Polymeric Networks for Next-Generation Wound Management: A Review.

Wound healing is a dynamic and highly coordinated biological process involving hemostasis, inflammation, proliferation, and tissue remodeling. However...

Automated Identification of Cardiopulmonary Disease Cases for Preoperative Risk Stratification Using Machine Learning: A Retrospective Analysis.

BACKGROUND: Preoperative chart review is time-consuming and prone to errors, particularly for cardiopulmonary conditions that impact anesthetic planni...

Nurses' Evaluation of a Service Robot for Inpatient Care: Technology Acceptance Study.

BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a potential strategy to alleviate workload and suppo...

Field-theoretical analysis of AI-enabled social support and teacher professional identity in preschool teacher education.

Strengthening the professional identity of preservice teachers with effective social support is an important approach for tackling teacher turnover in...

Topical review: Incorporating generative artificial intelligence into neuropsychology training: best practices, pitfalls, and recommendations for effective implementation.

OBJECTIVE: Generative artificial intelligence (AI) is rapidly transforming the field of neuropsychology by offering innovative opportunities to enhanc...

An Explainable Artificial Intelligence Tool (FibroX) for Detecting Advanced Liver Fibrosis in Type 2 Diabetes: Protocol for a Pilot Crossover Trial.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults with type 2 diabetes, and advanced fibrosis is its ...

Foundation models for brain imaging: A systematic review.

Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have revolutionized artificial intelligence and demonstra...

SSMamba: A self-supervised hybrid state space model for pathological image classification.

Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while...

Smart hydrogels for overcoming cancer multidrug resistance.

Multidrug resistance (MDR) remains the principal impediment to curative oncology, driven by complex interplays between cancer cells and the tumor micr...

The power, potential of real-world data in randomized controlled trials: proceedings from a multistakeholder think tank.

Randomized controlled trials (RCTs) remain the gold standard for evaluating medical interventions, but they often face challenges related to patient r...

AI in Oral Health Surveillance: Critical Review.

Artificial intelligence (AI) holds transformative potential for advancing oral health surveillance by streamlining data collection, integration, and d...

Use of AI as a Research Recruitment Tool: Ethical Elements, Considerations, and Recommendations.

Recruitment is often the most time-consuming and expensive step of clinical trials. As such, it is the most common stage for AI implementation, due to...

Code-Based Versus AutoML Methods for Pill Recognition in Clinical Settings: Comparative Performance Study.

BACKGROUND: Visual identification and verification of medications during dispensing and administration are prone to human error, particularly in high-...

Effect of a mobile health intervention optimised with artificial intelligence on blood pressure and other cardiovascular risk factors in adults with high blood pressure: rationale and design of My Intelligent Cardiac Assistant (MICArdiac) randomised controlled trial.

INTRODUCTION: Control of blood pressure (BP) continues to be a challenge globally. Clinical trials have shown home BP monitoring and text-message inte...

Subgroup identification of disparities in buprenorphine discontinuation in opioid-use disorder: A Virtual Twins machine learning approach using nationwide United States claims data, 2006-2022.

Buprenorphine retention is crucial for effective treatment of opioid use disorder (OUD), yet disparities in treatment discontinuation persist. This st...