Social robots are increasingly being deployed to address social isolation and loneliness, particularly among older adults. Clips on social media attest that individuals availing themselves of this option are pleased with their robot companions. Yet, ...
International journal of epidemiology
Oct 13, 2022
Nearly all diseases are caused by different combinations of exposures. Yet, most epidemiological studies focus on estimating the effect of a single exposure on a health outcome. We present the Causes of Outcome Learning approach (CoOL), which seeks t...
How can an agency like the U.S. Food & Drug Administration ("FDA") effectively regulate software that is constantly learning and adapting to real-world data? Continuously learning algorithms pose significant public health risks if a medical device ca...
Studies in health technology and informatics
May 27, 2021
The aim of this work is to shortly provide the public with an overview about fake news and artificial intelligence (AI) technology. Especially in our days, where there is a high speed of spreading news, the impact of fake news on public health is cru...
Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though learning (under a broader Learning Health System initiative) has been manifested in all the main areas of clinical application. Most applications based ...
Annali di igiene : medicina preventiva e di comunita
Jan 1, 2021
CONCLUSIONS: Despite some limits, our findings support the notion that deep learning methods can be used to simplify the diagnostic process and improve disease management.
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