AIMC Topic: Vulnerable Populations

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Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.

Nature medicine
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in medical imaging applications. However, there is growing concern that such AI systems may reflect and amplify human bias, and reduce the quality of their perfo...

Ensemble machine learning of factors influencing COVID-19 across US counties.

Scientific reports
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a communicable disease spread through close contact. It is known to disproportionately impact certain communities due to both biological susceptibility and...

Ethical challenges in the use of social service robots for elderly people.

Zeitschrift fur Gerontologie und Geriatrie
Socially assistive robots are increasingly discussed as solutions in care and domestic use for the support of senior adults; however, this raises ethical questions which hitherto have not been considered or were not predictable. The most important qu...

Is Generative AI Increasing the Risk for Technology-Mediated Trauma Among Vulnerable Populations?

Nursing inquiry
The proliferation of Generative Artificial Intelligence (Generative AI) has led to an increased reliance on AI-generated content for designing and deploying digital health interventions. While generative AI has the potential to facilitate and automat...