Health Policy

Federated Deep Learning Architecture for Personalized Healthcare.

Using deep learning to advance personalized healthcare requires data about patients to be collected ...

The potential for reduced radiation dose from deep learning-based CT image reconstruction: A comparison with filtered back projection and hybrid iterative reconstruction using a phantom.

The purpose of this phantom study is to compare radiation dose and image quality of abdominal comput...

GraphQA: protein model quality assessment using graph convolutional networks.

MOTIVATION: Proteins are ubiquitous molecules whose function in biological processes is determined b...

[Research on Current Situation of Quality Management of Artificial Intelligence Medical Device Enterprises].

OBJECTIVE: To understand the current situation of artificial intelligence production enterprise qual...

Application of Bayesian networks to generate synthetic health data.

OBJECTIVE: This study seeks to develop a fully automated method of generating synthetic data from a ...

Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.

Artificial intelligence (AI) will likely affect various fields of medicine. This article aims to exp...

Will machines decipher colonoscopy quality from endoscopists' notes?

The exceptional performance of deep learning for capsule endoscopy: Will such quality be maintained in clinical scenarios?

Automatic quality assessment for 2D fetal sonographic standard plane based on multitask learning.

The quality control of fetal sonographic (FS) images is essential for the correct biometric measurem...

Intersections of machine learning and epidemiological methods for health services research.

The field of health services research is broad and seeks to answer questions about the health care s...

Seasonal variation in heat shock proteins (hsp70 and hsp90) and their association with frozen semen quality and fertility in buffaloes.

BACKGROUND: Heat shock protein is considered as a potential indicator of animal adaptation to harsh ...

Achieving Equitable Access to Medicines and Health Services: A COVID-19-time Recalled Matter.

In the 21 century, while some people seek to use artificial intelligence for health services deliver...

A new evaluation and prediction model of sound quality of high-speed permanent magnet motor based on genetic algorithm-radial basis function artificial neural network.

Sound quality (SQ) has become an important index to measure the competitiveness of motor products. T...

Unexpected Inequality: Disparate-Impact From Artificial Intelligence in Healthcare Decisions.

Systemic discrimination in healthcare plagues marginalized groups. Physicians incorrectly view peopl...

Cost-Effective Machine Learning Based Clinical Pre-Test Probability Strategy for DVT Diagnosis in Neurological Intensive Care Unit.

In order to overcome the shortage of the current costly DVT diagnosis and reduce the waste of valuab...

CheXclusion: Fairness gaps in deep chest X-ray classifiers.

Machine learning systems have received much attention recently for their ability to achieve expert-l...

[THE IMPACT OF ARTIFICIAL INTELLIGENCE AND BIG DATA ON HEALTHCARE].

The fourth industrial revolution has led to a paradigm shift in the world of data; this paper review...

Social Robot Interventions for People with Dementia: A Systematic Review on Effects and Quality of Reporting.

BACKGROUND: Using non-pharmacological interventions is a current approach in dementia care to manage...

Artificial intelligence for intrarenal access.

Technology Can Augment, but Not Replace, Critical Human Skills Needed for Patient Care.

The practice of medicine is changing rapidly as a consequence of electronic health record adoption, ...

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Accumulating evidence demonstrates the impact of bias that reflects social inequality on the perform...