ArticleFrontiers in psychology2026
The prototype description of a smartphone application 'Maturo': applying artificial intelligent technology to monitor the growth and maturation of youth.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Growth and maturation (GAM) monitoring is essential in youth sport and healthcare, particularly for talent identification, training prescription, and injury risk management. Recent advances in mobile technology have enabled the integration of artificial intelligence (AI), including computer vision (CV) and machine learning (ML), into widely accessible personal devices. However, practical and scalable tools for GAM monitoring remain limited. Methods: We developed a smartphone application, Maturo, using the Dart programming language. The app integrates automated data processing, AI-based analytical functions, and longitudinal growth tracking. The development process included user and expert advisory consultation, system architecture design, implementation of data security and privacy safeguards, interface prototyping, and translation of scientific models into a functional mobile platform. Results: Maturo enables users to monitor GAM through a smartphone, a device commonly available to athletes, parents, coaches, and healthcare professionals. The app supports automated maturation-related calculations, longitudinal data visualization, and structured reporting. The integration of AI-driven processing facilitates scalable and user-friendly monitoring without requiring advanced technical expertise. Discussion: This study represents the first phase of a broader project applying AI technologies to youth GAM monitoring. The development of Maturo demonstrates the feasibility of translating growth and maturation science into an accessible digital solution for sport and health settings. Future validation and real-world implementation studies are warranted to evaluate accuracy, usability, and impact.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.