Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools-a scoping review of potential applications.

ABSTRACT:

Introduction

Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) technologies have opened new avenues for their applications in dietary assessments. Conventional dietary assessment methods are time-consuming, labor-driven, and have high recall bias. AI-assisted tools can be user-friendly and provide accurate dietary data. Hence, this review aimed to explore the applications of AI-assisted dietary assessment tools in real-world settings that could potentially enhance Next-Gen nutrition care delivery.

Materials and methods

A total of 17,613 original, full-text articles using keywords such as "artificial intelligence OR food image analysis OR wearable devices AND dietary OR nutritional assessment," published in English between January 2014 and Septembe

SUBMITTER: Phalle A 

PROVIDER: S-EPMC11798783 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature