Public Health & Policy

Health Policy

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

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In reply to 'clinical biochemistry test eliminator providing cost-effectiveness with five algorithms': the Casablanca strategy.

In this journal, Ataman Gönel recently demonstrated that elimination of requested unnecessary tests ...

Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning.

PURPOSE: This study aims to evaluate the impact of key parameters on the pseudo computed tomography ...

Analysis of Drug Effects on iPSC Cardiomyocytes with Machine Learning.

Patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) offer an attractive...

What are the main patient safety concerns of healthcare stakeholders: a mixed-method study of Web-based text.

OBJECTIVES: Various healthcare stakeholders define quality of care in different ways. Public policy ...

Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.

BACKGROUND: Accumulating evidence has linked environmental exposure, such as ambient air pollution a...

High quality proton portal imaging using deep learning for proton radiation therapy: a phantom study.

Purpose; For shoot-through proton treatments, like FLASH radiotherapy, there will be protons exiting...

Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data.

BACKGROUND: The Oncology Care Model (OCM) was developed as a payment model to encourage participatin...

Innovations in research and clinical care using patient-generated health data.

Patient-generated health data (PGHD), or health-related data gathered from patients to help address ...

Machine Learning Approaches for Quality Assessment of Protein Structures.

Protein structures play a very important role in biomedical research, especially in drug discovery a...

A social robot intervention on depression, loneliness, and quality of life for Taiwanese older adults in long-term care.

OBJECTIVES: To investigate the effect of a social robot intervention on depression, loneliness, and ...

Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience.

The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning...

A predictive model of recreational water quality based on adaptive synthetic sampling algorithms and machine learning.

Predicting recreational water quality is one of the most difficult tasks in water management with ma...

Machine Learning for Automation of Radiology Protocols for Quality and Efficiency Improvement.

PURPOSE: The aim of this study was to enhance multispecialty CT and MRI protocol assignment quality ...

Flaws (and quality) in research today: can artificial intelligence intervene?

The existing flaws in both conducting and reporting of research have been outlined and criticized in...

Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes.

The precise and early assessment of cardiotoxicity is fundamental to bring forward novel drug candid...

Assessing the environmental quality of an adapted, play-based LEGO robotics program to achieve optimal outcomes for children with disabilities.

PURPOSE: This study assessed the environmental quality of an adapted, play-based LEGO robotics progr...

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