Body Composition
This technical review examines how MeThreeSixty uses artificial intelligence and 3D imaging to estimate body composition from smartphone images. It describes the technology and methodology behind the app, evaluates early findings on its accuracy and reliability, and identifies considerations for future validation and use.
The findings highlight the potential of AI-powered 3D body scanning to make body composition assessment more accessible, scalable, and practical through a smartphone. While MeThreeSixty demonstrated reliable group-level results, the review emphasizes the need for continued validation and refinement to improve individual-level accuracy and support broader research and health applications.
Key takeaway
MeThreeSixty demonstrates how AI and 3D imaging can bring body composition assessment to a widely accessible smartphone platform. The review found reliable group-level results across body circumference and composition measures, supporting the technology’s potential for scalable research and health applications. The authors also identify opportunities to improve individual-level precision through continued model refinement and validation across more diverse populations. Overall, the research highlights the potential for mobile 3D body scanning to become an increasingly valuable tool for body composition assessment.