Accelerating health disparities research with artificial intelligence

Green, B. Lee; Murphy, Anastasia; Robinson, Edmondo

doi:10.3389/fdgth.2024.1330160

Front. Digit. Health

2024

DOI: 10.3389/fdgth.2024.1330160

|View full text |Cite

Accelerating health disparities research with artificial intelligence

B. Lee Green,

Anastasia Murphy,

Edmondo Robinson

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 13 publications

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Integrating Catholic Social Teaching with AI Ethics to Address Inequity in AI Healthcare

Gozum,

Flake

2024

J Relig Health

View full text Add to dashboard Cite

Integrating Catholic Social Teaching with AI Ethics to Address Inequity in AI Healthcare

Gozum,

Flake

2024

J Relig Health

View full text Add to dashboard Cite

Artificial Intelligence to Promote Racial and Ethnic Cardiovascular Health Equity

Amponsah,

Thamman,

Brandt

et al. 2024

Curr Cardiovasc Risk Rep

View full text Add to dashboard Cite

Computational intelligence techniques for achieving sustainable development goals in female cancer care

Bukke,

Komarla Kumarachari,

Komarla Rajasekhar

et al. 2024

Discov Sustain

View full text Add to dashboard Cite

This narrative review explores the intersection of computational intelligence (CI) techniques and the Sustainable Development Goals (SDGs) in the context of female cancer patients. With the increasing prevalence of cancer among women worldwide, there is a pressing need to integrate advanced computational methods to enhance diagnosis, treatment, and management. This review highlights various CI methods, including artificial intelligence, machine learning and data science, and examines their contributions to achieving specific SDGs like health and well-being (SDG 3), gender parity (SDG 5), and reduced disparity (SDG 10). Additionally, the review considers the impact of CI on other relevant SDGs, such as poverty eradication (SDG 1), quality education (SDG 4), economic growth and decent work (SDG 8), innovation and infrastructure (SDG 9), and global partnerships (SDG 17). The paper discusses the current state of CI applications in female cancer care, identifies challenges, and proposes future directions for research and practice.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Accelerating health disparities research with artificial intelligence

Cited by 13 publications

References 40 publications

Integrating Catholic Social Teaching with AI Ethics to Address Inequity in AI Healthcare

Integrating Catholic Social Teaching with AI Ethics to Address Inequity in AI Healthcare

Artificial Intelligence to Promote Racial and Ethnic Cardiovascular Health Equity

Computational intelligence techniques for achieving sustainable development goals in female cancer care

Contact Info

Product

Resources

About