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Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018.

Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic W...

Importance of Hospital Infection Control.

The increasing demand for healthcare-acquired infection (HAI) control practices and services has int...

Serum Calcium and Magnesium Levels, Not 25-Hydroxyvitamin D, Are Associated With Sleep Quality in Airline Pilots.

INTRODUCTION: Despite the vulnerability of airline pilots (APs) to sleep disturbances, the biologica...

The Quality of CLP-Related Information for Patients Provided by ChatGPT.

ObjectiveTo assess the quality, reliability, readability, and similarity of the data that a recently...

Assessment of Quality Outcomes and the Learning Curve for Robot-Assisted Anatomical Lung Resections.

To determine the perioperative quality assessment results and learning curves for robot-assisted an...

Playing position and match location affect the number of high-intensity efforts more than the quality of the opposition in elite football players.

This study aimed to examine the impact of playing position (PP), match location (ML), and opposition...

Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds.

Real-world robot applications usually require navigating agents to face multiple destinations. Besid...

Polychlorinated Biphenyls and Semen Quality in Healthy Young Men Living in a Contaminated Area.

Polychlorinated biphenyls (PCBs) are persistent organic pollutants and endocrine disruptors that hav...

Evidence-based literature review: De-duplication a cornerstone for quality.

Evidence-based literature reviews play a vital role in contemporary research, facilitating the synth...

Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools.

Digital health tools, platforms, and artificial intelligence- or machine learning-based clinical dec...

Machine Learning Approaches to Predict Asthma Exacerbations: A Narrative Review.

The implementation of artificial intelligence (AI) and machine learning (ML) techniques in healthcar...

Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data.

The use of medical data for machine learning, including unsupervised methods such as clustering, is ...

Quality assessment of colour fundus and fluorescein angiography images using deep learning.

BACKGROUND/AIMS: Image quality assessment (IQA) is crucial for both reading centres in clinical stud...

Development of a web-based care networking system to support visiting healthcare professionals in the community.

BACKGROUND: The role of visiting health services has been proven to be effective in promoting the he...

Interpreting forces as deep learning gradients improves quality of predicted protein structures.

Protein structure predictions from deep learning models like AlphaFold2, despite their remarkable ac...

Robot-assisted general surgery in Aotearoa New Zealand.

Robot-assisted surgery refers to a surgeon controlling a robotic device that performs an operation. ...

Simulation-based design optimization for statistical power: Utilizing machine learning.

The planning of adequately powered research designs increasingly goes beyond determining a suitable ...

Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data.

Ensuring the safety and reliability of drinking water supply requires accurate prediction of water q...

An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma.

When the mutation affects the melanocytes of the body, a condition called melanoma results which is ...

Ultrafast Cardiac Imaging Using Deep Learning for Speckle-Tracking Echocardiography.

High-quality ultrafast ultrasound imaging is based on coherent compounding from multiple transmissio...

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