AIMC Topic: Health Policy

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The Credibility of Physician Rating Websites: A Systematic Literature Review.

Health policy (Amsterdam, Netherlands)
OBJECTIVES: Increasingly, the credibility of online reviews is drawing critical attention due to the lack of control mechanisms, the constant debate about fake reviews and, last but not least, current developments in the field of artificial intellige...

[Future perspectives in surgery from a German point of view].

Chirurgie (Heidelberg, Germany)
In this article two aspects of the topic of future perspectives in surgery from a German point of view are discussed: firstly, topics of healthcare policy, such as upcoming alterations of the healthcare system, including required minimum quantities w...

Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review.

Journal of medical Internet research
BACKGROUND: There are a host of emergent technologies with the potential to improve hospital care in low- and middle-income countries such as Vietnam. Wearable monitors and artificial intelligence-based decision support systems could be integrated wi...

Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model.

Scientific reports
India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and gradual unlock (UL) phases were implemented by the government of India (GOI) to curb the virus spread. These phases witnessed many challenges and various day-...

Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let's Get Real.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
OBJECTIVES: This study aimed to showcase the potential and key concerns and risks of artificial intelligence (AI) in the health sector, illustrating its application with current examples, and to provide policy guidance for the development, assessment...

Ensuring that biomedical AI benefits diverse populations.

EBioMedicine
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
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
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
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
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...