AIMC Topic: Public Health

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Social Robots to Fend Off Loneliness?

Kennedy Institute of Ethics journal
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, ...

Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome.

International journal of epidemiology
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...

When Medical Devices Have a Mind of Their Own: The Challenges of Regulating Artificial Intelligence.

American journal of law & medicine
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...

Investigating the Impact of Misinformation Sources on Health Issues: Implications for Public Health.

Studies in health technology and informatics
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...

A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology.

Seminars in nephrology
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 ...

How could robotics help establish a new norm after COVID-19?

Science robotics
In a time of upheaval, robotics has an opportunity to offer long-term solutions and radical change.

Hierarchical convolutional models for automatic pneu-monia diagnosis based on X-ray images: new strategies in public health.

Annali di igiene : medicina preventiva e di comunita
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.