Artificial Intelligence in Dentistry: Detecting Cavities Through Dental Radiographs

Artificial intelligence (AI) is rapidly transforming the field of dentistry, particularly in the interpretation of dental radiographs. Traditionally, dentists have relied on their training and clinical experience to identify dental caries (cavities) on bitewing and periapical radiographs. While highly effective, human interpretation can vary among providers, and early-stage lesions can sometimes be difficult to detect. Today, AI-powered software is emerging as a valuable tool to assist clinicians in identifying cavities more accurately and consistently. 

AI systems use machine learning and deep learning algorithms that are trained on thousands of dental radiographs. By analyzing patterns associated with healthy and diseased tooth structures, these systems can highlight areas that may represent carious lesions. The software does not replace the dentist; rather, it serves as a decision-support tool that provides an additional layer of analysis during diagnosis. 

Recent research has demonstrated promising results. A 2025 systematic review and meta-analysis found that AI systems showed superior sensitivity and comparable specificity when detecting dental caries compared to traditional radiographic interpretation methods. These findings suggest that AI may improve the early detection of cavities, allowing for earlier intervention and more conservative treatment options. 

Several FDA-cleared dental AI platforms are already being used in clinical practice. These technologies can automatically highlight suspicious areas on radiographs, helping dentists explain findings to patients and improving patient understanding of treatment recommendations. AI-assisted radiographic analysis may also help reduce diagnostic variability between providers and improve consistency in patient care. 

Despite its benefits, challenges remain. AI systems depend on high-quality training data and may perform differently across patient populations and imaging conditions. Additionally, ethical considerations regarding data privacy, algorithm transparency, and overreliance on technology continue to be discussed within the profession. For this reason, AI should be viewed as a tool that enhances clinical judgment rather than replaces it. 

As AI technology continues to advance, its role in dentistry is expected to expand. The ability to detect cavities more efficiently and consistently has the potential to improve diagnostic accuracy, strengthen patient education, and support preventive care. Ultimately, AI-assisted radiograph analysis represents an exciting development that may help dentists deliver more effective and evidence-based care in the future.

References:

Abbott LP et al. "Artificial Intelligence Platforms in Dental Caries Detection: A Systematic Review and Meta-Analysis." Journal of Dentistry, 2025. AI demonstrated higher sensitivity and comparable specificity for caries detection. 

Albano D et al. "Artificial Intelligence for Radiographic Imaging Detection of Caries Lesions: A Systematic Review." BMC Oral Health, 2024. 

Gao S et al. "Artificial Intelligence in Dentistry: A Narrative Review." 2025. Discussion of AI applications in diagnostics and treatment planning. 

U.S. FDA-cleared dental AI systems such as VideaHealth, Pearl, and Overjet have been developed to assist with radiographic caries detection and diagnostic support.