Harnessing AI and Data Science to Address and Mitigate Health Inequities

Health inequities remain a persistent global challenge, disproportionately affecting underserved populations.Leveraging AI and data science can play a transformative role in identifying, understanding, and mitigating these disparities.This paper explores the potential of AI-driven solutions to address health inequities by analyzing social determinants of health, improving resource allocation, enhancing accessibility, and enabling early interventions.Furthermore, it discusses ethical considerations, data governance, and actionable frameworks for implementing AI in equitable healthcare systems.By focusing on real-world applications and aims to provide a comprehensive framework for leveraging AI to reduce health inequities.

Authors

Publication Details

Journal
Journal of Artificial Intelligence Machine Learning and Data Science
Published
2024-12-20
DOI
https://doi.org/10.51219/jaimld/kiran-veernapu/413
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Harnessing AI and Data Science to Address and Mitigate Health Inequities

Kiran Veernapu
Journal of Artificial Intelligence Machine Learning and Data Science
Climate Change and Health Impacts
article

Harnessing AI and Data Science to Address and Mitigate Health Inequities

Kiran Veernapu
article en

Abstract

Health inequities remain a persistent global challenge, disproportionately affecting underserved populations.Leveraging AI and data science can play a transformative role in identifying, understanding, and mitigating these disparities.This paper explores the potential of AI-driven solutions to address health inequities by analyzing social determinants of health, improving resource allocation, enhancing accessibility, and enabling early interventions.Furthermore, it discusses ethical considerations, data governance, and actionable frameworks for implementing AI in equitable healthcare systems.By focusing on real-world applications and aims to provide a comprehensive framework for leveraging AI to reduce health inequities.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 2(4)
Gender equality
Openalex Percentile: Top 65%
Climate Change and Health Impacts
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