Year: 2024
Type: article
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.
Author: Kiran Veernapu
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4406022708