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Understanding Nutrition Data and Dietary Information • Food Intake, Nutrient Requirements, Lifestyle Factors, and Health Indicators • Importance of Accurate Data Collection in Dietetics • Using Nutrition Data to Support Better Health Decisions

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Role of AI in Healthcare Systems • AI-Based Decision Support for Health and Wellness Programs • Applications of AI in Disease Prevention, Monitoring, and Patient Care • Opportunities and Challenges of AI in Healthcare Settings

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Introduction to AI in Nutrition • AI-Based Dietary Assessment and Food Pattern Analysis • Nutrition Recommendation Systems and Meal Planning Concepts • Using AI to Improve Nutrition Awareness and Behavior Change

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Understanding AI in Dietetics Nutrition Analytics • Analyzing Dietary Habits, Nutrient Intake, and Health Risk Factors • Using Analytics to Support Diet Planning and Patient Counseling • Interpreting Nutrition Insights for Practical Dietetic Applications

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Principles of Personalized Nutrition • Using Health, Lifestyle, and Dietary Data for Individualized Guidance • Personalized Meal Plans, Nutrient Goals, and Wellness Recommendations • Benefits and Limitations of AI-Supported Personalized Nutrition

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Ethical Considerations in AI-Based Diet and Health Recommendations • Data Privacy, Consent, and Responsible Use of Health Information • Accuracy, Bias, and Safety in Nutrition Decision Support • Role of Human Expertise in AI-Assisted Dietetics

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Case Studies in AI Healthcare Course Applications for Nutrition • AI in Nutrition for Weight Management, Diabetes Care, Heart Health, and Wellness • Challenges in Adoption, Data Quality, and User Trust • Future Opportunities in AI-Driven Dietetics and Personalized Nutrition