PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 14, 2026Clinical Nutrition ESPEN4 citationsOpen Access

Using mobile applications for body composition analysis: a technical review of an artificial intelligence-based tool

View Full Paper
TPTaiara Scopel PoltronieriBSBruna R. da SilvaJBJonathan Bennett

Key Points

  • The aim is to evaluate the accuracy of the MeThreeSixty app for body composition analysis using AI and 3D imaging.
  • Technical review of the MeThreeSixty app's features and capabilities.
  • Assessment of group-level and individual-level accuracy for body circumference and composition estimation.
  • Analysis of the need for validation in diverse populations and longitudinal datasets.
  • Group-level accuracy for body circumference and composition estimation is acceptable.
  • Individual-level precision is limited, requiring cautious interpretation.
  • Need for further prospective validation and model refinement is emphasized.

Abstract

MeThreeSixty app used 3D imaging and AI with acceptable group-level accuracy for estimating body circumference and composition, but limited precision at the individual level requires cautious interpretation. Further prospective validation and model refinement are needed, especially in diverse populations, and using longitudinal datasets before supporting personalized nutrition and broader health platform integration.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Poltronieri et al. (2026) studied this question.

synapsesocial.com/papers/69b4fa6fb39f7826a300b227https://doi.org/10.1016/j.clnesp.2026.103105
Ask AI
Helpful
Bookmark
Share
View Full Paper