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Home / Wellness / AI & Technology Dependencies / 10 Ways Nutritionists Are Using AI to Transform What We Eat

10 Ways Nutritionists Are Using AI to Transform What We Eat

AI nutrition

AI can support nutritionists and nutrition coaches in their practices in various ways, including: 

Supporting You With Providing Personalized Nutrition Advice (When Applicable)

AI algorithms may provide nutrition recommendations based on age, weight, health, food preferences, and exercise objectives. This improves nutritionists’ and coaches’ food programs. This material must be within your area of practice. Unless you are legally allowed to provide specific nutrition advice, it should represent broad healthy eating guidelines.

  • AI-driven individualized dietary counseling tools include.
  • Nutrino: Customizes meal programs to user preferences and health objectives.
  • PlateJoy: Customizes meal menus to specific diets.

Tracking & Monitoring

Tracking and monitoring may help some individuals reach short-term nutrition goals or raise awareness of food and exercise habits. Nutritionists and trainers may measure clients’ food consumption, physical activity, and other health data using AI-powered applications and wearables. Continuous monitoring is not for everyone.

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AI-powered monitoring technologies include:

  • MyFitnessPal: Tracks diet, exercise, and weight.
  • Fitbit: Offers fitness trackers and a food, exercise, and sleep app.

Analyzing Eating Patterns

AI can discover eating patterns in customers’ intake data, helping nutritionists and trainers find areas for development and offering healthier options.

AI-powered eating pattern analyzers include:

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  • Lose It! analyzes diets and suggests healthier options. This is focused on weight reduction, which may not be suitable for all customers, and the meals advised may not be culturally relevant.
  • Foodvisor: AI-powered image recognition estimates meal nutrition from photographs.

Research & Knowledge Synthesis: 
From massive research data, AI can detect nutrition science’s newest breakthroughs and best practices. Nutritionists and coaches may keep current and provide clients with evidence-based advice.

AI-driven research and knowledge synthesis technologies include:

  • Iris.ai: A scientific literature research helper.
  • Semantic Scholar: AI-powered search engine for academic publications.

RELATED: 4 Key Nutrition Guidelines Everyone Should Know

Identifying Nutrient Deficiencies

AI may discover vitamin inadequacies in customers’ diets and suggest foods or supplements to fill them.

AI-driven nutritional deficiency tools include:

  • Cronometer: Monitors micronutrients and detects deficits.
  • Wholesome: A meal monitoring app that shows vitamin levels and helps users fix diet gaps.

Behavior Change Support

AI-driven chatbots and virtual coaches may give customers continuous support, inspiration, and individualized coaching outside of sessions, enabling durable behavior improvements.

Chatbots may not work for everyone and may provide bad advice. Behavior change help works best in person.

AI-supported behavior change tool:

  • Lark: A chatbot that advises on diet, exercise, and sleep.

AI nutrition

Streamlining Administrative Tasks

Nutritionists and trainers may concentrate on client care when AI automates appointment scheduling, invoicing, and record-keeping.

AI-powered administrative automation technologies include:

  • DrChrono automates appointment scheduling, invoicing, and record-keeping.
  • SimplePractice: A complete health and wellness practice management application.

Enhancing Client Engagement

AI-powered solutions can produce dynamic and engaging teaching materials for customers to understand nutrition and make educated diet and health choices.

AI-powered customer engagement tools:

  • Quenza: Interactive client activities, evaluations, and instructional resources.
  • Nutrium: Software for dietitians to develop individualized food programs and engage with customers.

Predictive Analytics

AI can anticipate health hazards and suggest preventative steps by evaluating customer data. Your scope of practice and state laws may prohibit this.

Predictive analytics AI tools:

  • Based on client data, Gpredictive may detect health hazards.
  • IBM Watson Health: AI-powered health data analysis and risk prediction tools.

RELATED: Are You Falling for These Common Nutrition Myths?

Collaboration & Networking

AI helps dietitians, coaches, and other healthcare professionals exchange information, best practices, and insights to better client care.

AI-powered collaboration and networking tools:

  • Microsoft Teams: A seamless communication and collaboration tool for professionals.
  • Slack: A team chat software with file sharing and productivity tool integration.

Nutritionists and nutrition coaches may improve their practices, give better advice, and help clients reach their health and wellness objectives faster by using AI.

By Dominique Lambright | Published June 5, 2025

June 5, 2025 by Dominique Lambright

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