Public Health & Policy

Health Policy

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

5,873 articles
Stay Ahead - Weekly Health Policy research updates
Subscribe
Browse Categories
Showing 1240-1260 of 5,873 articles
Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models.

BACKGROUND: Electronic health records (EHRs) contain valuable information for clinical research; how...

Comparing ARIMA and various deep learning models for long-term water quality index forecasting in Dez River, Iran.

Water scarcity poses a significant global challenge, particularly in developing nations like Iran. C...

Dexterous helical magnetic robot for improved endovascular access.

Treating vascular diseases in the brain requires access to the affected region inside the body. This...

Artificial Intelligence in Operating Room Management.

This systematic review examines the recent use of artificial intelligence, particularly machine lear...

A low-cost machine learning framework for predicting drug-drug interactions based on fusion of multiple features and a parameter self-tuning strategy.

Poly-drug therapy is now recognized as a crucial treatment, and the analysis of drug-drug interactio...

Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives.

As population density increases, environmental hygiene and public health become increasingly severe....

Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality.

INTRODUCTION: Low back pain is a global health issue causing disability and missed work days. Common...

Machine Learning Methods as a Cost-Effective Alternative to Physics-Based Binding Free Energy Calculations.

The rank ordering of ligands remains one of the most attractive challenges in drug discovery. While ...

DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients.

BACKGROUND: Chronic kidney disease is a prevalent global health issue, particularly in advanced stag...

A deep learning approach for mental health quality prediction using functional network connectivity and assessment data.

While one can characterize mental health using questionnaires, such tools do not provide direct insi...

Verification of image quality improvement of low-count bone scintigraphy using deep learning.

To improve image quality for low-count bone scintigraphy using deep learning and evaluate their clin...

Combining simulation models and machine learning in healthcare management: strategies and applications.

Simulation models and artificial intelligence (AI) are largely used to address healthcare and biomed...

Comparing the Quality of Domain-Specific Versus General Language Models for Artificial Intelligence-Generated Differential Diagnoses in PICU Patients.

OBJECTIVES: Generative language models (LMs) are being evaluated in a variety of tasks in healthcare...

One-step Bayesian example-dependent cost classification: The OsC-MLP method.

Example-dependent cost classification problems are those where the decision costs depend not only on...

Assessment of the quality of online patient-oriented information on robotic colorectal surgery.

With advances in modern medicine, there is a constant need for accurate and up-to-date readily avail...

Overlay databank unlocks data-driven analyses of biomolecules for all.

Tools based on artificial intelligence (AI) are currently revolutionising many fields, yet their app...

Ethical considerations for artificial intelligence use in nursing informatics.

Artificial intelligence revolutionizes nursing informatics and healthcare by enhancing patient outco...

Image annotation and curation in radiology: an overview for machine learning practitioners.

"Garbage in, garbage out" summarises well the importance of high-quality data in machine learning an...

SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.

Electronic health records (EHRs) store an extensive array of patient information, encompassing medic...

Browse Categories