Medicare

Creation of an mHealth Infrastructure to Support the Development and Delivery of mHealth Interventions: Protocol for Demonstration Projects Addressing Smoking Cessation in Cancer Care.

BACKGROUND: Cancer remains a leading cause of morbidity worldwide. To reduce this burden, scalable, effective approaches are needed to address modifiable risk factors for cancer and support behavioral self-management. With smartphone ownership now nearly ubiquitous, mobile health (mHealth) interventions offer a powerful means to extend the reach, accessibility, and sustainability of evidence-based...

Genetic algorithm-based coverage path planning for autonomous aircraft cabin cleaning by reconfigurable robot.

Designing an optimal Coverage Path Planning (CPP) framework for autonomous aircraft cabin cleaning is a critical challenge due to the time-sensitive nature of aircraft turnaround operations. Conventional domestic cleaning robots struggle to adapt to the confined and irregular cabin layouts of commercial aircraft. To address this, the paper proposes a two-stage CPP approach utilizing the reconfigur...

Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact Committee.

Radiology strongly impacts patient care. However, radiologists' potential to promote high-value care has long been underappreciated, partly related to...

Staffing, workflow, and operational models in virtual nursing and remote safety observation: A scoping review.

BACKGROUND: Virtual nursing and remote safety observation have emerged as critical nurse-led workforce innovations, yet standardized evidence on staff...

Multi-agent collaboration for coherent long-video music synthesis.

With the rapid advancement of digital media, video content has become a primary medium for information dissemination and entertainment. Background mus...

Research on a long-haul transmission-line distributed vibration signal denoising method based on dual-fiber sensing and weakly supervised learning.

Long-haul distributed fiber-optic vibration monitoring for overhead transmission lines enables continuous sensing along the entire corridor. However, ...

Determinants of maternal postnatal care utilization in Bangladesh: A machine learning and SHAP-based analysis of BDHS 2022 data.

Postnatal care (PNC) plays a crucial role in minimizing maternal and neonatal morbidity and mortality, but the uptake of services in Bangladesh remain...

EEG microstate dynamics and metal metabolism in Parkinson's disease dementia: an exploratory study with machine learning-assisted sensitivity analysis.

BACKGROUND: Electroencephalogram (EEG) microstates effectively characterise cognitive-related brain networks, and metal homeostasis is crucial for mai...

Optimizing heart failure care: A machine learning-based prediction of hospital length of stay for heart failure patients.

BACKGROUND: Heart failure represents a significant global health burden, with prolonged length of stay (LoS) tied to increased mortality and costs. Ac...

Quantitative Ergonomic Assessment of Long Handle Farming Tools Among Women Farmers Using Camera-Based Analysis.

HIGHLIGHTS: Moderate handle lift angles (27°-56°) and handle lift heights (545-1111 mm) reduce hip/shoulder flexion. Lighter tools (<2.0 kg) lower MSD...

Trajectory planning method for pipeline installation robots based on AS-DTRRT.

Pipeline installation robots install pipelines on both sides of mine roadways using robotic arms; the geometric shape and length of the pipelines affe...

Cross-Institutional Data Harmonization for AI in Nursing Care Using the OMOP CDM.

Artificial Intelligence (AI) offers potential to support and empower nurses, yet its development depends on the availability of high-quality, standard...

Objective-function-guided automated VMAT planning reduces OAR dose, low-dose exposure, and inter-planner variability in breast radiotherapy.

This study presents and evaluates an automated volumetric modulated arc therapy (VMAT) planning framework for breast cancer based on objective functio...

Reliability-Aware Deep Learning Framework for Chemical Genotoxicity Prediction with Uncertainty Quantification.

Genotoxicity assessment is crucial for drug development and chemical safety evaluation. However, traditional experimental approaches are time-consumin...

A clinically interpretable deep learning pipeline for diabetic retinopathy classification using EfficientNet, advanced data augmentation and GradCAM.

BACKGROUND: Early and reliable grading of diabetic retinopathy is important for preventing avoidable vision loss. Although deep learning methods have ...

Reimagining Continuous Professional Development for Physicians in the Age of Artificial Intelligence.

Artificial intelligence (AI) is transforming medicine by changing how clinicians learn, reason, communicate, and care for patients. Clinician expertis...

How Silica Surface Chemistry Modulates Interfacial Water: Insights from Machine Learning Molecular Dynamics.

Controlling water structure and dynamics at silica interfaces are central to a wide range of technologies, including protective oxide layers for solar...

Artificial Intelligence Based High Resolution Melting Analysis for Comprehensive Calreticulin Mutation Screening and Novel Variant Detection in Myeloproliferative Neoplasms.

INTRODUCTION: Current CALR mutation screening in myeloproliferative neoplasms (MPNs) faces a trade-off between coverage and cost: allele-specific qPCR...

Leveraging artificial intelligence to predict non-adherence to pediatric immunization schedules: a systematic review.

UNLABELLED: Immunization is one of the most effective interventions to prevent infectious diseases. Identifying individuals at risk of non-adherence t...

Hematopoietic Stem Cell Transplant and Brain Volume Changes in Adults With Sickle Cell Disease.

BACKGROUND AND OBJECTIVES: Adults with sickle cell disease (SCD) are at risk of decline in brain health and cognition, even without clinical stroke. S...