Analysis of

Relationships and Cephalometric

Unified System

 

ARCUS (Unified Cephalometric Relationship Analysis) is an artificial intelligence–based diagnostic system developed within ORTHOPROGRESSIVE that integrates neural networks and machine learning to analyze radiographic images, cephalometric measurements, and clinical parameters from a bioprogressive orthodontic perspective, incorporating facial biotypes, parafunctional habits, and growth patterns to deliver precise and personalized diagnoses of craniofacial relationships; by leveraging large datasets and continuous self-learning capabilities, it identifies skeletal and facial patterns, predicts diagnostic outcomes, and supports orthodontic treatment planning, while also including a pedagogical component with evaluative testing that simultaneously builds a functional clinical profile, reinforcing the principle that each clinical situation requires an individualized assessment grounded in objective criteria rather than subjective interpretation, thereby strengthening both clinical decision-making and advanced orthodontic education.

LEVEL I – Structural Bases

Global Craniofacial Assessment

Purpose:
To establish the structural baseline of the craniofacial complex.

Focus:

  • Cranial base relationships

  • Sagittal and vertical skeletal patterns

  • Global facial proportions

Clinical value:

  • Identifies the primary skeletal pattern

  • Defines the diagnostic starting point

  • Guides the need for deeper analysis

LEVEL II – Skeletal and Dental Relationships

Relationships Between Systems

Purpose:
To evaluate the relationships between skeletal and dentoalveolar units.

Focus:

  • Maxillo-mandibular relationships

  • Dental position relative to basal bones

  • Compensation patterns

Clinical value:

  • Distinguishes between skeletal discrepancy and dental compensation

  • Supports treatment strategy selection

LEVEL III – Functional and Growth Analysis

Dynamic Evaluation

Purpose:
To integrate function and growth potential into the diagnosis.

Focus:

  • Growth direction and rotational patterns

  • Neuromuscular patterns and malocclusions, Functional matrices

  • Developmental tendencies

Clinical value:

  • Enhances predictive capacity

  • Supports timing and modality of treatment

LEVEL IV – Integrated Diagnostic Synthesis

Clinical Decision Framework

Purpose:
To synthesize all previous levels into a coherent diagnostic conclusion.

Focus:

  • Integration of structure, function, and growth

  • Identification of therapeutic priorities

  • Risk and limitation assessment

Clinical value:

  • Provides a clear diagnostic statement

  • Supports predictable clinical decision-making

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Questions in the Database

About Our Evaluation

ARCUS  is a unified cephalometric diagnostic system designed to analyze craniofacial relationships in an integrated and hierarchical manner, going beyond the isolated interpretation of linear or angular measurements.  The core concept of ARCUS is based on the idea that form, function, and growth pattern  (Biotype)  cannot be evaluated as independent entities, but rather as interrelated units within a dynamic and unified system.

The ARCUS multilevel assessment system is designed as a structured diagnostic and cephalometric test with progressive levels of analysis and an extensive database that allows, for example, the linking of cephalometric and clinical situations or functional alterations in a single question. This enables a gradual interpretation of craniofacial and dental relationships according to clinical complexity and diagnostic needs.

This multilevel design ensures that the diagnosis evolves from a comprehensive structural assessment to a detailed functional and predictive evaluation, maintaining consistency throughout the entire diagnostic process.

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Beyond Measurement, Toward Understanding

Organizations, institutions, and strategic partners interested in advancing innovation in AI-driven orthodontics are invited to collaborate with ARCUS, supporting the development of a next-generation diagnostic system that integrates cephalometric analysis, clinical parameters, and bioprogressive principles to deliver more precise, objective, and personalized treatment planning, while also contributing to a forward-thinking educational platform that promotes continuous learning, evaluative training, and a deeper understanding of individualized patient care.

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