Public Health & Policy

Health Policy

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

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Indirect Robotic Movement Shaping through Motor Cost Influence.

Movement patterns are commonly disrupted after a neurological incident. The correction and recovery ...

Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges.

Combinations of healthcare claims data with additional datasets provide large and rich sources of in...

The economic cost of robotic rehabilitation for adult stroke patients: a systematic review.

OBJECTIVE: The objective of this review was to examine the economic cost of robotic therapy compared...

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Commercially available artificial intelligence (AI) algorithms outside of health care have been show...

A centralized automated-dispensing system in a French teaching hospital: return on investment and quality improvement.

OBJECTIVES: To evaluate the return on investment (ROI) and quality improvement after implementation ...

Digital transformation in healthcare - architectures of present and future information technologies.

Healthcare providers all over the world are faced with a single challenge: the need to improve patie...

Telesurgery prospects in delivering healthcare in remote areas.

Feasibility and safety of performing remote surgery was first established by performing surgeries on...

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.

BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intell...

[The Role and Requirement of Datasets in the Quality Control of Artifcial Intelligence Medical Device].

Artificial intelligence is a blooming branch of medical device. Its development and quality control ...

Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling.

We study the way dynamics affects modelling in chronic heart failure (CHF) tasks. By dynamics we und...

Building deep learning models for evidence classification from the open access biomedical literature.

We investigate the application of deep learning to biocuration tasks that involve classification of ...

Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.

The creation of big clinical data cohorts for machine learning and data analysis require a number of...

Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data.

Information Quality (IQ) is a core tenant of contemporary data management practices. Across many dis...

Better resource utilization and quality of care for cervical cancer screening in low-resourced districts using an internet-based expert system.

BACKGROUND: Screening tools are critical in the early prevention of cervical cancers. Acetic-acid ba...

Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

OBJECTIVES: The aim of this study was to test the ability of a commercially available natural langua...

Evaluation of a protocol for reducing the microbial contamination of dental unit water.

Biofilm on dental unit waterlines can spread microbial contamination in the water. The aim of this s...

Bring on the Machines: Could Machine Learning Improve the Quality of Patient Education Materials? A Systematic Search and Rapid Review.

PURPOSE: Clear and trustworthy information is essential for people who are ill. People with cancer, ...

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care.

Digital health constitutes a merger of both software and hardware technology with health care delive...

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