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Introduction

Artificial intelligence (AI) has revolutionized various industries, including healthcare. In recent years, the integration of AI technologies in healthcare has shown promising outcomes in terms of improved diagnosis, treatment, and patient outcomes. However, the implications of AI in healthcare extend beyond the individual level to the public health sector. This thesis aims to explore the public health implications of AI in healthcare, examining the potential benefits and challenges that arise from its implementation.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
– Overview of AI in healthcare
– Public health challenges and opportunities
– Adoption of AI in public health programs
– Ethical considerations in AI implementation
– Impact of AI on healthcare disparities
– Regulatory frameworks for AI in healthcare
– Case studies of AI in public health initiatives
– Stakeholder perspectives on AI in healthcare
– Potential risks of AI in public health
– Future trends in AI and public health

Chapter 3: Research Methodology
– Research design and approach
– Data collection methods
– Sampling techniques
– Data analysis procedures
– Ethical considerations
– Validity and reliability
– Research limitations
– Research scope

Chapter 4: Discussion of Findings
– Analysis of public health implications of AI in healthcare
– Comparison of AI technologies in public health settings
– Impact of AI on health outcomes
– Implementation challenges and recommendations
– Policy implications for AI integration in public health
– Future research directions

Chapter 5: Conclusion and Summary
– Summary of key findings
– Implications for public health practice
– Recommendations for policymakers
– Conclusion and future outlook

In conclusion, this thesis will provide a comprehensive analysis of the public health implications of AI in healthcare, contributing to our understanding of how AI technologies can be effectively utilized to promote population health and improve healthcare delivery systems.

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