Executive Development Programme in AI for Dietitian Leaders
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⢠Introduction to Artificial Intelligence (AI): Understanding the basics of AI, its types, and applications in the healthcare industry.
⢠Data Science for Dietitians: Exploring data science fundamentals, including data collection, management, and analysis for dietitians.
⢠Machine Learning Algorithms: Diving into machine learning algorithms, such as supervised and unsupervised learning, and their use in dietetics.
⢠AI in Nutritional Assessment: Examining how AI can improve nutritional assessment, including predictive analytics and personalized nutrition recommendations.
⢠AI in Disease Prevention and Management: Investigating the role of AI in diet-related disease prevention and management, such as diabetes, heart disease, and obesity.
⢠AI for Dietetic Leadership: Developing leadership skills in using AI to drive innovation and improve patient outcomes in dietetics.
⢠AI Ethics and Regulations: Understanding ethical considerations, legal frameworks, and regulations related to AI implementation in dietetics.
⢠AI Implementation and Scaling: Learning how to implement and scale AI solutions effectively in dietetics organizations.
⢠AI Trends and Future Directions: Staying updated on the latest AI trends and future directions in the dietetics field.
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