Health Policy

Feasibility of Using an Artificial Intelligence-based Telephone Application for Dietary Assessment and Nudging to Improve the Quality of Food Choices of Female Adolescents in Vietnam: Evidence from a Randomized Pilot Study.

BACKGROUND: Adolescent nutrition has faced a policy neglect, partly owing to the gaps in dietary int...

Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model.

The rise of artificial intelligence (AI) applications in healthcare provides new possibilities for p...

Closing the Gaps in Care of Dyslipidemia: Revolutionizing Management with Digital Health and Innovative Care Models.

Although great progress has been made in the diagnostic and treatment options for dyslipidemias, una...

[Quality indicators artificial intelligence].

The ability of some artificial intelligence (AI) systems to autonomously evolve and the sometimes ve...

Deep Learning Assisted Imaging Methods to Facilitate Access to Ophthalmic Telepathology.

PURPOSE: To investigate the use of super-resolution imaging techniques to enable telepathology using...

The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations.

PURPOSE: This contribution explores the underuse of artificial intelligence (AI) in the health secto...

Quality of T2-weighted MRI re-acquisition versus deep learning GAN image reconstruction: A multi-reader study.

PURPOSE: To evaluate CycleGAN's ability to enhance T2-weighted image (T2WI) quality.

Opportunistic Screening for Asymptomatic Left Ventricular Dysfunction With the Use of Electrocardiographic Artificial Intelligence: A Cost-Effectiveness Approach.

BACKGROUND: The burden of asymptomatic left ventricular dysfunction (LVD) is greater than that of he...

Comparison of Percutaneous Renal Access Between Robot-Assisted Fluoroscopy Guidance Using the Bi-Plane Method and Ultrasound Guidance: A Multicenter Randomized Control Benchtop Study.

To evaluate the efficacy of supine percutaneous renal access by robot-assisted (RA) fluoroscopy and...

Intelligent selection of healthcare supply chain mode - an applied research based on artificial intelligence.

INTRODUCTION: Due to the inefficiency and high cost of the current healthcare supply chain mode, in ...

Machine learning in health financing: benefits, risks and regulatory needs.

There is increasing use of machine learning for the health financing functions (revenue raising, poo...

Machine Learning-Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review.

BACKGROUND: An early warning tool to predict attacks could enhance asthma management and reduce the ...

Working with the Electronic Health Record and Laboratory Information System to Maximize Ordering and Reporting of Molecular Microbiology Results.

Molecular microbiology assays have a higher cost of testing compared to traditional methods and need...

Deep learning-driven multi-view multi-task image quality assessment method for chest CT image.

BACKGROUND: Chest computed tomography (CT) image quality impacts radiologists' diagnoses. Pre-diagno...

Enhancing cardiac CT imaging quality: Precision metrics for assessing image quality for AI-powered reconstructions.

Long-term effects of deep-learning digital therapeutics on pain, movement control, and preliminary cost-effectiveness in low back pain: A randomized controlled trial.

OBJECTIVE: The present study aimed to compare the effects of a deep learning-based digital applicati...

Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury.

PURPOSE: To evaluate the diagnostic performance of CT-like MR images reconstructed with an algorithm...

Applications of digital health approaches for cardiometabolic diseases prevention and management in the Western Pacific region.

Cardiometabolic diseases (CMDs) are the major types of non-communicable diseases, contributing to hu...

A Bibliometric Analysis of Neuroscience Tools Use in Construction Health and Safety Management.

Despite longstanding traditional construction health and safety management (CHSM) methods, the const...

Virtual hospital and artificial intelligence: a first step towards the application of an innovative health system for the care of rare cerebrovascular diseases.

The development of virtual care options, including virtual hospital platforms, is rapidly changing t...

Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future.

Sepsis remains a major challenge internationally for healthcare systems. Its incidence is rising due...