AI in Dietetics Practice: Empowering the Future of Nutrition Care

Overview

Artificial intelligence (AI) is rapidly transforming the field of nutrition and dietetics, from personalized dietary assessment to predictive health analytics and food system monitoring. AI offers powerful tools to improve accuracy, save time, and expand professional impact.

From understanding AI to applying it in your workflow, for a real increase in productivity

From understanding AI to applying it in your workflow, for a real increase in productivity

This intensive, hands-on workshop equips dietitians with practical and strategic skills to integrate Artificial Intelligence across clinical, community, research, food science, and education settings.

We begin with a concise explanation of how AI works, covering core technologies relevant to practice, including machine learning, large language models, natural language processing, computer vision, predictive analytics, and AI agents. The focus is on understanding capabilities, limits, and professional responsibility.

Participants then explore real-world AI applications in nutrition and dietetics, such as:

Clinical documentation and decision support
Dietary analysis and pattern recognition
Food image recognition and portion estimation
Food safety monitoring
Research support and data analysis
AI agents for workflow automation
Building simple nutrition tools or apps using no-code or vibe coding approaches

A dedicated segment trains participants in structured prompting and tool comparison, helping them combine technologies effectively and critically assess outputs.

In the final applied component, each participant selects one real task from their professional workflow and redesigns it using AI tools, moving from theory to measurable implementation.

Who Should Attend

Registered/licensed dietitians and nutritionists working in clinical, community, or food service settings.
Diet center managers and consultants looking to optimize workflows.
Health professionals interested in digital transformation and data-driven nutrition care.

Participants are encouraged to bring if available, anonymized databases or client case examples to use in the interactive exercises.

Learning Outcomes

By the end of the workshop, participants will be able to:

Explain key AI technologies used in dietetics practice.
Identify appropriate AI applications for their specific work context.
Design structured prompts and workflows for professional tasks.
Critically evaluate AI outputs for accuracy and bias.
Integrate AI tools ethically into documentation, analysis, education, or program development.
Redesign at least one professional task using AI to improve efficiency and quality.

Certification

Participants who complete the workshop will receive a Certificate of Attendance with 4 CPE Credits from the Lebanese Order of Dietitians (LOD) and the Lebanese American University.

Registration

Seats are limited. Please register by November 10 by completing the online registration form and uploading your LOD membership ID, if applicable, to benefit from the discounted rate. Payment must be completed no later than November 16 to confirm your registration.

Program Schedule

Time	Session	Details
8:00 – 8:30	Registration and Coffee	Welcome coffee and participant check-in
8:30 – 9:00	Foundations: How AI Actually Works	Core concepts simplified: machine learning, LLMs, NLP, computer vision, predictive analytics, AI agents. What they do, what they don’t do, and why dietitians must understand the mechanics.
9:00 – 9:30	AI in Dietetics, Food Science, and Public Health	Real applications across clinical care, dietary analysis, food image recognition, food safety, research synthesis, education, and workflow automation. Identifying high-impact opportunities.
9:30 – 10:45	Hands-on Lab 1: Tools and Technologies	Guided exploration of AI tools: LLM platforms, research assistants, documentation support, dietary analysis tools, computer vision apps, predictive tools. Comparing outputs, strengths, and limits. Internet access provided.
10:45 – 11:05	Coffee Break
11:05 – 11:35	Advanced Prompting and Workflow Design	Structured prompting strategies. Combining tools. Using AI agents. Designing reliable outputs for documentation, education materials, analysis, and research.
11:35 – 12:00 pm	Hands-on Lab 2: Redesign Your Own Task	Each participant selects one real professional task and rebuilds it using AI, documentation, patient education, research drafting, analysis, app idea, or workflow automation.
12:00 – 12:10 pm	Ethics, Bias, and Professional Accountability	Bias, hallucinations, privacy, evidence validation, and responsible integration into patient-centered care.
12:10 – 12:30 pm	Implementation and Future-Proofing Practice	Participants present their redesigned workflow. Practical next steps. AI’s evolving role in research, innovation, and professional identity. Q and A.