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AI-powered digital diagnostics and interdisciplinary treatment planning in orthodontics
A practical digital workflow combining AI diagnostics, 3D records, and interdisciplinary planning for more predictable orthodontic decisions.
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Giorgio Comola
Деталі курсу
Уроки курсу
Уроки курсу
Лектори
ADA CERP
Отримайте доступ до цього курсу та 2000+ годин навчання з Premium.
...на рік
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Що включено до
Цей онлайн-курс
Деталі
3 уроки (2г 44хв)
2.25 CE Credits

Англійська
Доступ до запису на період Premium
Опис
Digital orthodontics is moving beyond scans, virtual setups, and isolated records. This course explores how AI-powered diagnostic tools and digital workflows can help clinicians organize complex clinical information, identify potential risks, and build treatment strategies around final restorative, functional, and esthetic objectives.
During the course, you will learn about:
– AI-assisted diagnostics and decision-making in digital orthodontics
– Integrating intraoral scans, radiographs, facial and smile analysis, and occlusal data
– Identifying diagnostic risks and treatment limitations before planning
– Digital treatment planning for aligner orthodontics
– Connecting aligner tooth movements with restorative, prosthetic, implant, and periodontal objectives
– Using digital setups to coordinate interdisciplinary treatment
– Integrating functional, esthetic, and facial objectives into orthodontic planning
– Improving communication between orthodontists, prosthodontists, periodontists, surgeons, and technicians
– Anticipating clinical compromises and improving treatment predictability
– Building a structured digital workflow from diagnosis to final rehabilitation.
Through practical clinical examples, the course demonstrates how AI and digital planning can improve clinical decision-making, optimize aligner treatment, facilitate interdisciplinary communication, and support more predictable outcomes from initial diagnosis to final rehabilitation.
Урок 1.AI-Powered Digital Diagnostics in Orthodontics
– The evolution of digital orthodontic records
– Connecting scans, radiographs, facial analysis, occlusion, and treatment objectives.
– AI in Orthodontic Diagnosis:
- Where AI can support clinical decision-making
- AI-assisted identification of risks and diagnostic patterns
- The limits of AI and the role of clinical judgment.
– Building a Structured Digital Diagnostic Workflow:
- Intraoral scans and digital models
- Radiographic and facial records
- Occlusal and functional assessment
- Integrating multiple data sources into one diagnostic picture.
Урок 2.Beyond the Scan: AI and Digital Diagnostics in Modern Orthodontics. From Data Integration to Clinical Decision-Making
– The evolution of digital orthodontic records
– Why collecting data is not the same as understanding it
– Connecting scans, radiographs, facial analysis, occlusion, and treatment objectives.
– AI in Orthodontic Diagnosis:
- Where AI can support clinical decision-making
- AI-assisted identification of risks and diagnostic patterns
- The limits of AI and the role of clinical judgment.
– Building a Structured Digital Diagnostic Workflow:
- Intraoral scans and digital models
- Radiographic and facial records
- Occlusal and functional assessment
- Integrating multiple data sources into one diagnostic picture.
– Translating digital findings into clinical decisions
– Connecting anatomy, function, esthetics, and treatment objectives
– Using digital tools to improve treatment predictability
– Preventing problems before they appear during treatment.
– Digital Visualization and Patient Communication:
- Making complex diagnostic findings easier to understand
- Using 3D visualization to explain treatment limitations and risks
- Improving patient engagement and treatment acceptance.
– Practical Digital Diagnosis Checklist:
- Key records to review before treatment
- Essential diagnostic questions
- Final verification before starting aligner or orthodontic treatment
- Creating a repeatable workflow for daily clinical practice.
Урок 3.The Digital Treatment Blueprint: Interdisciplinary Planning for Predictable Orthodontic Outcomes
– Principles of interdisciplinary digital treatment planning
– Defining the final prosthetic, restorative, and esthetic goal
– Integrating facial, smile, and occlusal analysis
– Planning tooth movement around prosthetic and implant requirements
– Digital setup as a tool for interdisciplinary communication
– Coordinating orthodontic, periodontal, surgical, and restorative objectives
– Identifying treatment limitations and the need for interdisciplinary intervention
– Anticipating clinical compromises through digital planning
– Step-by-step workflow for interdisciplinary case planning
– From digital treatment blueprint to final rehabilitation.
Курс включає уроки:

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