Applications of Artificial Intelligence in Dental Diagnosis and Treatment Planning: What Should Students Know? A Critical Literature Review | ||
| MSA Dental Journal | ||
| Volume 4, Issue 4, October 2025, Pages 22-26 PDF (1.01 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/msadj.2025.409940.1060 | ||
| Author | ||
| Khaled Elkhamisi* | ||
| New Mansoura University | ||
| Abstract | ||
| The integration of Artificial Intelligence (AI) in dentistry is rapidly transforming clinical practice. This literature review critically evaluates the current and emerging applications of Al in dental diagnosis and treatment planning. A narrative literature review was conducted, synthesizing key findings from a comprehensive search of PubMed, Scopus, and ScienceDirect for articles published between 2015 and 2025. The review highlights the pivotal role of Al in augmenting diagnostic accuracy through radiographic interpretation, oral cancer detection, and periodontal assessment. It also underscores its contributions to treatment planning in orthodontics, restorative dentistry, and implantology. While Al offers significant benefits, its implementation is not without challenges, including concerns about data privacy, algorithmic bias, and the risk of over-reliance. This paper argues that a foundational understanding of Al's principles, applications, and ethical implications is now essential for dental students to prepare them for a technology-driven future. We propose a framework for integrating Al literacy into undergraduate dental curricula to bridge the gap between technological advancement and educational practice. | ||
| Keywords | ||
| Dental Education; Radiographic Analysis; Algorithmic Bias; Curriculum Integration | ||
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