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[HTML][HTML] SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
H Siala, Y Wang - Social Science & Medicine, 2022 - Elsevier
A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare
have emerged as AI becomes increasingly applicable and technologically advanced. The …
have emerged as AI becomes increasingly applicable and technologically advanced. The …
Health information technology and digital innovation for national learning health and care systems
A Sheikh, M Anderson, S Albala, B Casadei… - The Lancet Digital …, 2021 - thelancet.com
Health information technology can support the development of national learning health and
care systems, which can be defined as health and care systems that continuously use data …
care systems, which can be defined as health and care systems that continuously use data …
The ethics of AI in health care: a map** review
This article presents a map** review of the literature concerning the ethics of artificial
intelligence (AI) in health care. The goal of this review is to summarise current debates and …
intelligence (AI) in health care. The goal of this review is to summarise current debates and …
The impacts of ocean acidification on marine ecosystems and reliant human communities
Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
Social media-and internet-based disease surveillance for public health
Disease surveillance systems are a cornerstone of public health tracking and prevention.
This review addresses the use, promise, perils, and ethics of social media and internet …
This review addresses the use, promise, perils, and ethics of social media and internet …
A Delphi study to build consensus on the definition and use of big data in obesity research
Background 'Big data'has great potential to help address the global health challenge of
obesity. However, lack of clarity with regard to the definition of big data and frameworks for …
obesity. However, lack of clarity with regard to the definition of big data and frameworks for …
Twitter as a tool for health research: a systematic review
Background. Researchers have used traditional databases to study public health for
decades. Less is known about the use of social media data sources, such as Twitter, for this …
decades. Less is known about the use of social media data sources, such as Twitter, for this …
What is your definition of Big Data? Researchers' understanding of the phenomenon of the decade
The term Big Data is commonly used to describe a range of different concepts: from the
collection and aggregation of vast amounts of data, to a plethora of advanced digital …
collection and aggregation of vast amounts of data, to a plethora of advanced digital …
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
Point-of-care diagnostics: recent developments in a connected age
The field of point-of-care (POC) diagnostics offers the tantalizing possibility of providing
rapid diagnostic results in nonlaboratory settings. Here, we review progress in this research …
rapid diagnostic results in nonlaboratory settings. Here, we review progress in this research …