Model card

How does the AI work?

This page explains the calculation and AI layers inside Çocuk Gelişim in plain language. The platform provides decision support; it is not diagnosis, treatment or emergency triage.

Methods we use

Mid-Parental Height

Uses parent heights to estimate a target-height range. It is a simple first-pass summary of family height genetics.

Khamis-Roche

Combines age, sex, height, weight and parent heights. It is one adult-height method that does not require bone age.

Bayley-Pinneau

Uses bone age as an input. Hand-wrist X-ray interpretation belongs in clinical context and is not a standalone diagnosis.

Neyzi + Ensemble

Uses the Neyzi 2008 Turkish reference and agreement across methods to produce a confidence label.

Bone-Age AI

Provides an assistive signal from hand-wrist X-rays. It does not replace a radiology report or clinician judgment.

Limits and safety rules

Outputs are probabilistic and never guarantee final adult height.

Measurement error, missing parent heights, rapid weight change or chronic disease can distort predictions.

Precocious puberty, delayed puberty, falling growth velocity or eating-disorder concern requires clinician assessment.

Sport readiness scores should not be used alone for talent selection; injury risk, training history and clinical context matter.

Data and privacy

Personal profiles, child measurements and reports stay in authenticated areas. Federation and annual reports apply a k >= 10 anonymity gate before showing aggregate groups.

Clinical governance

The platform keeps scientific-board oversight and clinical warnings visible. Model outputs only make sense alongside clinician assessment, history, examination, labs and imaging.

How to read a result

Interpret the interval, warnings and agreement between methods together instead of treating one number as certain. Contact a pediatric clinician when growth slows unexpectedly, puberty timing looks unusual or chronic disease symptoms are present.