Seedlabs

Business Model Canvas: Automated Orthodontic Growth-Stage Screener

A software tool for orthodontists that automatically identifies cephalometric landmarks and classifies Cervical Vertebral Maturation (CVM) stages from lateral cephalograms. It provides a standardized quantitative analysis to help clinicians determine the optimal timing for growth-dependent orthodontic interventions.

The framework reveals a high-value efficiency play that transforms a tedious manual diagnostic process into a scalable software service. While landmark detection is technically mature, the CVM classification's moderate accuracy necessitates a 'human-in-the-loop' model, positioning the tool as a clinical assistant rather than a replacement.

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The idea has clearly defined beneficiaries and a specific value proposition, making it ready to map out the delivery and capture of value. · Generated 2026-08-09 by cavi/gemma4-31b-it-awq-4bit-32kAI-generated

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