{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} AI Applications for Nutrition and Food Security Research: A Taxonomy and Competencies

Activity Steps

1 Activity
2 Take Test 3Certificate

Description

Data analytics (DA) and artificial intelligence (AI) play increasingly vital roles in food, nutrition, environment, and public health research and practice.This review outlines AI?s diverse applications in nutrition research, including data analysis, prediction, personalized recommendations, and food safety monitoring. Recognizing AI pitfalls and the need for critical thinking, ethical reasoning, and responsible conduct, effective regulations should ensure that AI applications are ethically developed, transparent, and accountable, safeguarding against potential risks and ensuring their responsible use for the benefit of society.

Learning Objectives

After completing this continuing education activity you will be able to:

  1. Identify the artificial intelligence (AI) applications and opportunities for nutrition and food security.
  2. Describe the shortcomings of AI for applications for nutrition and food security.
  3. Explain the role of AI in nutrition and food security training in graduate programs.

Learning Outcomes

By the conclusion of this activity, a majority of the participants will demonstrate knowledge of artificial intelligence (AI) applications for nutrition and food security by achieving a passing score on the posttest.

Disclosures

All authors and planners have no relevant financial relationships with any ineligible organizations regarding this educational activity.

Price: $24.95

Credits:

  • CDR 1.5 CPEU
  • FCDN 1.5 CPEU

Lippincott Williams & Wilkins (LWW) is a Continuing Professional Education (CPE) Accredited Provider with the Commission on Dietetic Registration (CDR), provider number LI001. Registered dietitians (RDs) will receive 1.5 continuing professional education units (CPEUs) for successful completion of this program/material. Activity Number 186281. Performance Indicators: 6.1.3, 6.2.1, 6.2.2, 6.2.7.



Planner
Professions: Dietetic Professional
Test Code: NT0125
Published: Jan/Feb 2025
Expires: 12/3/2027
Sources: Nutrition Today
Required Passing Score: 8/10 (80%)
Authors: Elena N. Naumova, PhD
Categories: Electronic Information in Nursing , Evidence Based Practice , Nutrition , Research
Specialties: Evidence-based practice, Informatics, Nutrition, Research
Topics: Artificial Intelligence , Food Insecurity , Nutrition , Resource Allocation , Technology