AIMC Topic: Health Policy
Clear Filters Showing 31 to 40 of 53 articles
Ensuring that biomedical AI benefits diverse populations.
EBioMedicine
May 4, 2021
Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic research discovery to individual health assessment. It is critical that these advances in technology broadly benefit diverse populations from around the worl...
Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation.
The Milbank quarterly
Apr 6, 2021
Policy Points With increasing integration of artificial intelligence and machine learning in medicine, there are concerns that algorithm inaccuracy could lead to patient injury and medical liability. While prior work has focused on medical malpractic...
A Novel Machine Learning Framework for Comparison of Viral COVID-19-Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis.
Journal of medical Internet research
Jan 6, 2021
BACKGROUND: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and compare...
Prediction of out-of-pocket health expenditures in Rwanda using machine learning techniques.
The Pan African medical journal
Dec 21, 2020
INTRODUCTION: in Rwanda, the estimated out-of-pocket health expenditure has been increased from 24.46% in 2000 to 26% in 2015. Despite the existence of guideline in estimation of out-of-pocket health expenditures provided by WHO (2018), the estimatio...
Artificial Intelligence in Health Care: Current Applications and Issues.
Journal of Korean medical science
Nov 2, 2020
In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical tre...
Bioethics and healthcare policies. The benefit of using genetic tests of BRCA 1 and BRCA 2 in elderly patients.
The International journal of health planning and management
Sep 25, 2020
This study focuses on the role of bioethics in designing public healthcare policies towards elderly patients with cancer. The general overview of public administration and healthcare approach to treatment. Interpretation of how the EU public administ...
The Need for a National Strategy on Artificial Intelligence in Canadian Dermatology.
Journal of cutaneous medicine and surgery
May 4, 2020
Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.
Research synthesis methods
Mar 3, 2020
BACKGROUND: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can...
Policy Implications of Artificial Intelligence and Machine Learning in Diabetes Management.
Current diabetes reports
Feb 1, 2020
PURPOSE OF REVIEW: Machine learning (ML) is increasingly being studied for the screening, diagnosis, and management of diabetes and its complications. Although various models of ML have been developed, most have not led to practical solutions for rea...
Transforming health policy through machine learning.
PLoS medicine
Nov 13, 2018
In their Perspective, Ara Darzi and Hutan Ashrafian give us a tour of the future policymaker's machine learning toolkit.
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