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Artificial Intelligence for the Oral and Maxillofacial Surgeon
John M Nathan1, Jay Shim2, Kevin Arce3
1Senior Associate Consultant, Division of Oral and Maxillofacial Surgery, Department of Surgery, Mayo Clinic, Rochester, MN.
Summary
Artificial intelligence (AI) and machine learning (ML) offer significant potential in oral and maxillofacial surgery (OMS). Surgeons need AI knowledge for effective development and adoption of these powerful clinical tools.
Area of Science:
- Oral and Maxillofacial Surgery
- Artificial Intelligence
- Machine Learning
Background:
- The exponential growth of artificial intelligence (AI) and machine learning (ML) contrasts with limited exposure among oral and maxillofacial surgeons.
- Current educational and clinical integration of AI/ML in OMS is minimal.
Purpose of the Study:
- To introduce core AI/ML concepts relevant to oral and maxillofacial surgery (OMS).
- To discuss the challenges and potential solutions for AI development within OMS.
- To provide context for AI/ML applications in OMS.
Main Methods:
- Review of core concepts in commonly used AI models.
- Analysis of AI/ML applications and challenges in OMS.
- Exploration of potential solutions for AI development in OMS.
Main Results:
- Preliminary AI/ML studies in OMS show high performance in key metrics.
- Demonstrated efficacy includes sensitivity, specificity, Dice coefficient, intersection over union, and residual error.
Conclusions:
- Oral and maxillofacial surgeons require functional AI knowledge for development and adoption.
- AI/ML holds potential for significant clinical and administrative applications in OMS with surgeon guidance.
