Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content


Main|Search|PHGKB
Search PHGKB:

Last Posted: Oct 04, 2024
spot light Highlights

Crossing the Equity Chasm: Addressing a Second Valley of Death in Biomedical Innovation

From the article: "Recent transformative advances in health and medicine have successfully traversed the valley of death, including progress in genomics, precision medicine, innovative medicines and vaccines, gene therapy, and artificial intelligence. However, it is critical to call attention to a second, important valley of death: the failure to deliver scientific advances to populations most in need. The second valley of death is fueled by socioeconomic, environmental, political, and systemic factors; health system failures; and persistent challenges in closing the last mile in health care, resulting in significant disparities in morbidity and mortality worldwide. "

Precision public health in the era of genomics and big data

From the abstract: "Precision public health (PPH) considers the interplay between genetics, lifestyle and the environment to improve disease prevention, diagnosis and treatment on a population level—thereby delivering the right interventions to the right populations at the right time. In this Review, we explore the concept of PPH as the next generation of public health. We discuss the historical context of using individual-level data in public health interventions and examine recent advancements in how data from human and pathogen genomics and social, behavioral and environmental research, as well as artificial intelligence, have transformed public health. "

Generalization—a key challenge for responsible AI in patient-facing clinical applications

From the abstract: "Generalization – the ability of AI systems to apply and/or extrapolate their knowledge to new data which might differ from the original training data – is a major challenge for the effective and responsible implementation of human-centric AI applications. Current debate in bioethics proposes selective prediction as a solution. Here we explore data-based reasons for generalization challenges and look at how selective predictions might be implemented technically, focusing on clinical AI applications in real-world healthcare settings. "

Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis
F Kolbinger et al, Comm Med, April 11, 2024

From the abstract: "AI reporting guidelines for medical research vary with respect to the quality of the underlying consensus process, breadth, and target research phase. Some guideline items such as reporting of study design and model performance recur across guidelines, whereas other items are specific to particular fields and research stages. Our analysis highlights the importance of reporting guidelines in clinical AI research and underscores the need for common standards that address the identified variations and gaps in current guidelines. Overall, this comprehensive overview could help researchers and public stakeholders reinforce quality standards for increased reliability, reproducibility, clinical validity, and public trust in AI research in healthcare. "

Search Result Summary


Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

TOP