LIMITED TIME OFFER
£15 early bird
(instead of £25)

6.5 hours

Artificial Intelligence (AI) in Nutrition and Dietetics

Opportunities, Challenges, and Future Perspectives

Thursday 17 June 2026, 10:00 – 16:30 BST
6.5 hours CPD

Register
YOU'LL RECEIVE A LINK TO THE RECORDING AND THE SLIDES AFTER THE EVENT SO YOU CAN WATCH ON DEMAND

#AINutritionDietetics2026 #MyNutriWeb
@MyNutriWeb

Artificial Intelligence (AI) in Nutrition and Dietetics

Opportunities, Challenges, and Future Perspectives

Thursday 17 June 2026, 10:00 – 16:30 BST
6.5 hours CPD

Register
YOU'LL RECEIVE A LINK TO THE RECORDING AND THE SLIDES AFTER THE EVENT SO YOU CAN WATCH ON DEMAND

LIMITED TIME OFFER
£15 early bird
(instead of £25)

6.5 hours

#AINutritionDietetics2026 #MyNutriWeb
@MyNutriWeb

OPEN TO ALL HEALTH PROFESSIONALS, TUTORS AND STUDENTS
Artificial intelligence (AI) is rapidly transforming healthcare, and nutrition and dietetics are no exception. From personalised dietary guidance and automated dietary assessment to large-scale public health insights, AI has the potential to reshape how nutrition care is delivered, accessed, and understood. As data-driven technologies become more embedded in clinical practice, research, and the wider food system, nutrition professionals are increasingly required to engage with new tools, new evidence, and new ways of working.

LEARNING OBJECTIVES:
WATCH THIS SYMPOSIUM TO:

GAIN A CLEAR UNDERSTANDING OF:

  • The role of AI in transforming nutrition and dietetics practice
  • Key concepts such as nutritional intelligence and data-driven decision-making
  • Current applications of AI across clinical care, public health, and the food system
  • The strengths and limitations of AI-powered nutrition tools
  • The importance of data quality, validation, and expert input

BE AWARE OF:

  • Ethical considerations, including data privacy, bias, and transparency
  • The challenges of integrating AI into clinical and community practice
  • The risk of over-reliance on automated tools without appropriate professional
    oversight
  • Workforce implications, including changing roles and required competencies
  • Communication challenges when discussing AI with patients and the public

BE ABLE TO:

  • Critically evaluate AI tools and applications in nutrition and dietetics
  • Identify appropriate and safe use cases for AI in different practice settings
  • Integrate AI-supported insights into evidence-based, person-centred care
  • Communicate confidently about the role of AI with patients, colleagues, and
    stakeholders
  • Recognise opportunities to engage with and shape the future of AI in nutrition practice

CHAIR:

• Tanya Haffner Registered Dietitian, CEO and founder of the MyNutriWeb food and nutrition education hub, Chair of the BDA Sustainable Diets Committee

MODERATOR:

• Marta Buczkowska Registered Dietitian at MyNutriWeb

10:00 – 10:20

Welcome and Chair Introduction

Melissa Mogor

Chair’s introduction

Tanya Haffner
Registered Dietitian, CEO and founder of the MyNutriWeb food and nutrition education hub, Chair of the BDA Sustainable Diets Committee

@mynutriweb  @TanyaHaffner

Tanya Haffner's biography
Tanya is a registered dietitian, CEO, and founder of MyNutriWeb and Nutrilicious Communications. With 30+ years of experience across healthcare, education, food systems and communications.  She supports professionals and workers within these systems to help people eat well, with a triple win for health, planet and the economy. She is current Chair of the British Dietetic Association’s Sustainable Diets Group and member of the BDA Food Strategy Woking Group, supporting members to embed sustainability into practice through training, guidance and policy change. Tanya believes that the trusted role of healthcare and food professionals by the public, working across multiple sectors in society, position them as powerful agents of change; whose understanding of the key issues and ability to apply change is vital to delivering on some of most pressing health and environmental goals of our time.
Melissa Mogor

Moderator’s introduction

Marta Buczkowska
Registered Dietitian at MyNutriWeb

@marta-buczkowska

Marta Buczkowska 's biography
Marta is a registered dietitian at MyNutriWeb with expertise in nutrition education, sustainable and plant-rich diets, and the intersection of food systems and health. She holds a post-graduate degree in Environmental, Social and Governance (ESG) Management and has a particular interest in emerging technologies and the ethical application of AI in dietetics and nutrition practice. Marta is also a committee member and Social Media Officer for the BDA Sustainable Diets Specialist Group.

Artificial Intelligence in Nutrition in Dietetics 101

10:20 – 10:40

Digital transformation in the NHS – where are we at and what does the future look like?

More details about this exciting session coming soon!

Melissa Mogor
10:45 – 11:15

Foundations of AI in nutrition and dietetics

Oliver Canfell
Lecturer in Nutritional Sciences at King’s College London

@oliver_canfell

Oliver Canfell’s biography
Oliver is an academic paediatric dietitian at King’s College London. Before moving to King’s, Oliver completed a three-year fellowship in digital health. Oliver is interested in how digital health can improve dietetic care and education. Oliver has held clinical, public health, and academic dietetic roles in Australia and the UK.
Session outlines and learning objectives
We are only just beginning to understand how AI will shape healthcare. As health professionals, we have a collective responsibility to understand this new tool – how it works, why it could help, and what the risks and benefits are. This talk will offer a clear and accessible introduction to AI and link it to nutrition and dietetics.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

  • Definitions of artificial intelligence and its key subsets, including machine learning, deep learning, and generative AI

BE AWARE OF:

  • Differences between AI and other digital health technologies
  • Evidence for AI in nutrition and dietetics practice
  • Risks and concerns of AI

BE ABLE TO:

  • Define AI and its key subsets
  • Apply AI concepts to nutrition and dietetics
  • Apply risks and concerns of AI to nutrition and dietetics
11:20-11:35 Q&A
11:40-11:50 Break

How Digital Food Environments and AI Are Transforming the Way We Eat

Clare Pettinger Registered Dietitian and Registered Nutritionist (Public Health), University of Plymouth

11:50-12:15

Digital Food Environments – Emerging Challenges for Nutrition Policy & Practice

Lewis Wallis
Postgraduate Researcher (University of Leeds), Regulatory & Nutrition Affairs Advisor (Campden BRI)

@lewis-wallis

Lewis Wallis’s biography
Lewis is a Regulatory and Nutrition Affairs Advisor and advises on a range of topics, including HFSS legislation, ultra-processed foods, and front-of-pack nutrition labelling. He is also a Postgraduate Researcher at University of Leeds researching digital food environments and their influence on consumer food choices.
Session outlines and learning objectives
Digital food environments are rapidly transforming how consumers interact with food through online supermarkets, meal delivery apps, meal kits, social media and algorithm-driven recommendation systems. These digital settings create new opportunities for product placement, promotion, personalisation, and behavioural influence, raising important questions for nutrition, public health, regulation, and professional practice. This presentation will explore how digitalisation is reshaping food choices, including emerging challenges for nutrition policy and practice, and discuss why understanding digital food environments is important for researchers, regulators, healthcare professionals, and the food industry.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

  • The concept and expanding scope of digital food environments
  • Examples of features that have the potential to influence consumer food choices
  • The emerging role of nutrition policy in digital settings to enable healthier and more sustainable food choices

BE AWARE OF:

  • Emerging challenges and gaps in nutrition policy and regulation within digital food environments
  • Opportunities and risks associated with digital technologies for population health
  • The range of stakeholders involved in digital food environments

BE ABLE TO:

  • Identify digital food environments and influential features that may influence consumer choice
  • Discuss the implications of digital food environments for nutrition policy, research and practice
  • Critically reflect on how digitalisation may shape future approaches to healthier and more sustainable diets
Melissa Mogor

12:20-12:45

Nutritional Intelligence in the food systems – the role of data and AI in shaping our food choices

More details about this exciting session coming soon!

Danielle McCarthy

 

Melissa Mogor

12:50-13:15

How can AI-powered apps revolutionise health and nutritional care?

Ro Huntriss
Registered Dietitian, Chief Nutrition Officer at Simple Life App

@ro-huntriss

Ro Huntriss’s biography
Ro Huntriss is a Registered Dietitian with 15 years of experience across clinical practice, commercial business and health tech. Ro has worked in health tech for 9 years and is the Chief Nutrition Officer at Simple Life App, an AI weight loss coach with 800k subscribers, predominantly from the US.
Session outlines and learning objectives
AI-powered apps are transforming health and nutritional care by delivering highly personalised, scalable, and accessible support to users in real time. From analysing dietary habits and lifestyle behaviours to providing tailored coaching, education, and feedback, these technologies have the potential to improve engagement, adherence, and long-term health outcomes across many aspects of health.

This session will explore how AI is already being used within health-promoting apps, sharing the functionalities, innovations in practice, effectiveness and also some of the limitations it poses.

Attendees will come away from the session with a clearer understanding of how AI-powered apps can improve lifestyle behaviors, patient engagement, and support better health outcomes in practice.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

  • How AI-powered health and nutrition apps currently work in practice
  • The role of AI in behaviour change, personalisation, and patient engagement
  • Opportunities and challenges of integrating AI into health and nutrition apps

BE AWARE OF:

  • Ethical, safety, and data privacy considerations surrounding AI in healthcare
  • The limitations and potential risks of AI-generated health advice
  • Emerging trends shaping the future of digital health and nutrition care

BE ABLE TO:

  • Recall uses of AI in health and nutrition apps
  • Identify where AI tools may enhance patient support and outcomes
  • Apply practical insights from digital health innovation to their own professional practice
13:20-13:30 – Q&A
13:30-14:00 – LUNCH

Patient trust, misinformation and communication in the age of AI

Melissa Mogor

14:00-14:20

Utilising AI to enhance patient outcomes and augment (not replace!) clinical workforce skills

Juliet Finnie
Clinical Expert Dietitian, Oviva

@Juliet_Finnie

Juliet Finnie’s biography

Juliet Finnie is a Registered Dietitian with 15+ years of clinical experience across the NHS and Oviva. As Oviva’s Clinical Expert for both the specialist weight management pathway and the AI companion development she works to enhance patient outcomes and make high-quality care accessible to all.

Session outlines and learning objectives

How can AI tools be used to enhance patient engagement, retention and clinical outcomes? We’ll explore how to do this in a way that enhances and augments the skills of a nutrition team rather than replacing valuable clinical resources. We’ll consider how clinical teams and AI can work together to create a seamless patient journey.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

  • How AI tools can support patients ‘in the moment’ between clinical contacts and optimise engagement and retention
  • How clinical teams can work together with AI tools to collaboratively support and engage with patient

BE AWARE OF:

  • A variety of ways in which AI tools can engage with patients
  • The potential risks associated with AI overlap with clinical work
  • Opportunities to augment clinical practice via AI

BE ABLE TO:

  • See relevant use cases for AI and clinical team collaboration
  • Plan how to measure clinical outcomes associated with AI tool use
14:20-14:30 – Q&A session

14:30-14:55

Misinformation in diet and nutrition in the age of AI

More details about this exciting session coming soon!

AI-driven nutrition training and the future of dietetics

raspberry and lemon cupcakes

15:00 – 15:25

Using AI and Digital Tools in Nutrition and Dietetic Education & Training

Ellie Coles
Dietitian & co-founder of Simhealth

@eleanor-coles

Ellie Coles’s biography
Ellie is a registered dietitian Registered dietitian and former lecturer and MSc dietetics course director. I founded To Be A Dietitian – the dietetic education consultancy that evolved into Simhealth AI, providing AI-powered simulation opportunities. She provides dietetic and physiotherapy practice placements across ten UK universities.
Session outlines and learning objectives
Artificial intelligence and digital tools are fundamentally changing how healthcare professionals are practicing. Education is no different and in dietetic training we must keep pace. From AI-assisted learning platforms to clinical simulation, these technologies offer dietitians, practice educators, and universities new ways to prepare students for real-world clinical challenges more effectively and efficiently. With the NHS and universities under increasing pressure to train more dietitians, AI-powered tools and simulation technology can be used to provide scalable, controlled and safe learning environments where every student gains consistent clinical exposure.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

  • Why embedding AI and digital tools into nutrition and dietetic education is essential for preparing students and trainees for the evolving demands of modern clinical practice.

BE AWARE OF:

  • How AI-powered simulation can provide safe, consistent, and scalable learning experiences that complement (not replace) existing education and training provision.

BE ABLE TO:

  • To be able to identify practical ways to incorporate AI and digital tools into teaching and training, drawing on real-world examples from dietetic education and practice.
15:30 – 15:40 – Q&A session
Dr Wendy Hall, PhD RNutr, Reader in Nutritional Sciences, Department of Nutritional Sciences, Faculty of Life Sciences & Medicine, King’s College London

15:40-16:15

Prompts + Purpose: Effective GenAI Use + the Evolving Role of the Dietitian

Drew Hemler
Drew Hemler, MSc, RD, CDN, FAND, Registered Dietitian, Consultant, Speaker and Practice Consultant, Nutrition by Drew, PLLC / TELUS Health / Microsoft Canada / Buffalo State University

@dietitian.drew

Drew Hemler’s biography
Drew Hemler, MSc, RD, CDN, FAND, is a registered dietitian, educator, consultant and speaker working across AI, professional practice, communications and continuing education. He supports dietitians and health professionals in using emerging technologies thoughtfully, ethically and practically while keeping human judgment central to care.
Session outlines and learning objectives
Generative AI is already shaping how dietitians communicate, educate, research, manage workflows, and support clients and communities. In this practical 30-minute session, participants will learn how to develop structured prompts that produce more useful, relevant, and safer outputs. Through simple examples of weak versus stronger prompts, the session will introduce key prompt elements, common risks, and the mindset needed when working with GenAI chatbots. Participants will also briefly explore how AI is influencing the evolving role of the dietitian across practice areas, with emphasis on professional judgment, ethical use, and the continued value of RD expertise.

Watch this session to:

GAIN CLEAR UNDERSTANDING OF:

  • hat a GenAI prompt is and why structure matters for output quality and safety.
  • Core elements of stronger prompts and review criteria.
  • How AI is beginning to influence dietetic roles across communication, education, management, leadership, research and client/community support.

BE AWARE OF:

  • Common risks in GenAI outputs.
  • Why tool choice, data control, human review and professional accountability matter.
  • The limits of AI-generated content when clinical reasoning, ethical judgment, cultural relevance or individualized care are required.

BE ABLE TO:

  • Improve a weak prompt by adding clearer instructions, context, boundaries and review criteria.
  • Apply a practical guide when using and discussing AI with oneself, patients, clients, colleagues, and communities.
  • Discuss the focuses of the RD in the age of AI, across comms, management, leadership, and research.
16:15 – 16:30  – closing remarks
Register
YOU'LL RECEIVE A LINK TO THE RECORDING AND THE SLIDES AFTER THE EVENT SO YOU CAN WATCH ON DEMAND

CPD CERTIFICATE & LEARNING MATERIALS

This symposium is awaiting approval for CPD by the AfN

CPD certificates will be issued based on length of total time attended

Webinar slides and links to other key resources will be sent within two weeks of viewing the symposium, along with a separate personalised CPD certificate to save for your files. Add hello@mynutriweb.com to your safe senders to ensure you receive them.

This webinar is kindly supported by SimHealth

About SimHealth

SimHealth is a UK-based EdTech company providing AI-powered simulation specifically designed for dietetic education and training. Working with universities and NHS trusts, SimHealth gives dietetic students a safe, controlled environment in which to develop and practise their consultation skills before entering real clinical settings. Students can interact with simulated patients, practise writing in medical notes, engage with the wider MDT – all building the practical skills and confidence that traditional teaching alone cannot consistently provide at scale. By combining the power of AI with the specific demands of dietetic practice, SimHealth is helping to bridge the gap between university learning and clinical reality allowing students to prepare for future placements & practice.

Please note, approval of each sponsor and activity is carefully assessed for suitability on a case by case basis. Sponsorship does not imply any endorsement of the brand by MyNutriWeb, its organisers, its moderators or any participating healthcare professional, or their association. Sponsorship funds are reinvested into the creation and promotion of professional development opportunities on MyNutriWeb.

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