1. Introduction 2. Overview of Artificial Intelligence in Healthcare 2.1 Definition and Scope of AI 2.2 Historical Development 2.3 Current Applications 3. Personalized Medication Regimens 3.1 Explanation and Importance 3.2 Current Challenges 3.3 Role of Predictive Analytics 4. AI Technologies in Pharmacy Practices 4.1 Machine Learning Algorithms 4.2 Natural Language Processing 4.3 Robotics and Automation 5. Impact of AI on Personalized Medication 5.1 Improved Treatment Outcomes 5.2 Reduction of Adverse Drug Reactions 5.3 Customization in Drug Formulation 6. Case Studies and Real-world Applications 6.1 Successful Implementations 6.2 Lessons Learned 6.3 Barriers to Adoption 7. Ethical and Regulatory Considerations 7.1 Data Privacy Concerns 7.2 Regulatory Frameworks 7.3 Ethical Dilemmas in AI Use 8. Future Directions and Innovations 8.1 Emerging AI Technologies 8.2 Integration with Genomics 8.3 Vision for Future Pharmacy Practices 9. Conclusion
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