A new artificial intelligence system performs dental diagnostics and proposes treatment plans to assist clinicians during routine examinations.

Overview

The platform analyses dental images and clinical inputs to identify potential pathologies and to generate structured recommendations for care providers.

Technical approach

The system combines image-processing models with decision-support logic to segment anatomy, detect lesions, and prioritise findings for clinician review.

• Image analysis: automated segmentation and anomaly detection applied to radiographs and intraoral scans.
• Decision support: prioritized suggestions presented alongside source images for clinician assessment.
• Integration: designed to interface with practice management and electronic health record systems.

Clinical and regulatory considerations

Deployment requires validation in clinical settings and adherence to medical-device regulation frameworks and data-protection standards such as GDPR or equivalent national rules.

Implementations must ensure patient data anonymization, secure storage, and clinician oversight of all automated recommendations before treatment decisions are made.

Potential impact

Proponents argue the tool may improve workflow consistency and support diagnostic coverage, while clinicians retain final responsibility for care plans and interventions.