J Delgado, A de Manuel, I Parra, C Moyano… - Journal of bioethical …, 2022 - Springer
To analyze which ethically relevant biases have been identified by academic literature in artificial intelligence (AI) algorithms developed either for patient risk prediction and triage, or …
D Leslie, A Mazumder, A Peppin, MK Wolters… - bmj, 2021 - bmj.com
Does “AI” stand for augmenting inequality in the era of covid-19 healthcare? Page 1 the bmj | BMJ 2021;372:n304 | doi: 10.1136/bmj.n304 1 ARTIFICIAL INTELLIGENCE AND COVID-19 …
There is a long history of the science of intelligent machines and its potential to provide scientific insights have been debated since the dawn of AI. In particular, there is renewed …
Purpose The expanded use of clinical tools that incorporate artificial intelligence (AI) methods has generated calls for specific competencies for effective and ethical use. This …
As artificial intelligence (AI) makes continuous progress to improve quality of care for some patients by leveraging ever increasing amounts of digital health data, others are left behind …
The vast complexity involved in dealing responsibly with sustainable development is daunting. Such complexity increases significantly due to the interdependencies and trade …
I Dankwa-Mullan, EL Scheufele… - Journal of Health Care …, 2021 - muse.jhu.edu
The COVID-19 pandemic has created multiple opportunities to deploy artificial intelligence (AI)-driven tools and applied interventions to understand, mitigate, and manage the …
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 …
Importance The lack of data quality frameworks to guide the development of artificial intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in …