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Robot-Assisted Oral Examination: Challenges and Innovations
Yongcheng Ge1, Wenfeng Wang2, Ting Zhao3
1Department of Geriatric Stomatology, Hospital of Stomatology, Jilin University, Changchun, China.
International Dental Journal
|June 15, 2026
Summary
Intelligent oral examination robots, integrating robotics and artificial intelligence (AI), promise to enhance dental diagnostics. Further development in system integration and safety is needed for widespread clinical adoption.
Area of Science:
- Robotics and Artificial Intelligence in Dentistry
- Oral Diagnostic Technologies
- Clinical Workflow Optimization
Background:
- The integration of robotics and artificial intelligence (AI) into oral examinations is an emerging field.
- Current diagnostic methods in dentistry face challenges in standardization and efficiency.
- Intelligent oral examination robots aim to address these limitations through advanced technology.
Purpose of the Study:
- To review and assess the components, functions, and challenges of intelligent oral examination robots.
- To evaluate the clinical relevance and potential of these robots in dentistry.
- To understand how robotics and AI can improve diagnostic efficiency and standardization.
Main Methods:
- Systematic literature review of PubMed and ScienceDirect databases up to September 2025.
- Search strategy combined keywords: 'robot,' 'AI,' 'oral diagnosis,' 'intraoral scanner.'
- Included 134 studies focusing on oral robotic technologies, AI in diagnosis, and robotic navigation.
Main Results:
- Key components include high-resolution imaging, multimodal data fusion, force sensing, automated navigation, and AI algorithms.
- These technologies improve accuracy, standardization, data management, and clinical workflow.
- Developmental challenges include system integration, safety assurance, responsiveness, and clinical validation.
Conclusions:
- Intelligent oral examination robots show potential to reduce clinician workload and improve diagnostic accuracy and consistency.
- Advancements in hardware-software integration, safety, and clinical adaptability are crucial for implementation.
- These robots can enhance early disease detection, patient management, and streamline dental workflows.
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