Biobanks play a central role in pediatric translational research, which deals primarily with
genetic data from sample-based research. However, participation of children in biobanking …

Abstract Machine learning (ML) and deep learning (DL) have potential applications in
medicine. This overview explores the applications of AI in cardiovascular imaging, focusing …

Background The ethical governance of Artificial Intelligence (AI) in health care and public
health continues to be an urgent issue for attention in policy, research, and practice. In this …

Modern public health science and practice are characterized by innovation in such areas as
prevention, surveillance, data analysis, policy development, and delivery of health services …

In the context of biomedical research involving human subjects, the review of research
proposals by ethics committees in virtually every country has traditionally focused on …

How do we assess the positive and negative impacts of research about-or research that
employs artificial intelligence (AI), and how adequate are existing research governance …

Growing awareness of the genetic basis of disease is transforming the opportunities for
improving patient care by accelerating the development, delivery and uptake of …

In 1974, the United States Congress asked a question prompting a national conversation
about ethics: which ethical principles should govern research involving human participants …

Harms and risks to groups and third-parties can be significant in the context of research,
particularly in data-centric studies involving genomic, artificial intelligence, and/or machine …

For institutional review boards (IRBs) and human research protection programs (HRPPs)
specifically, the ubiquity of artificial intelligence (AI), machine learning (ML), and data mining …