Risk Assessment and Treatment Planning Advisor for Restorative Dentistry

Dentists face challenges deciding between treatment options such as post & core crowns, bridges, implants, or extractions, especially when dealing with marginal cases (e.g., insufficient ferrule, poor occlusion). There is limited decision support software that considers patient-specific clinical variables to suggest prognosis and cost-effective treatment plans.

An app that inputs clinical parameters (ferrule size, moisture control, occlusion, periodontal status) and patient preferences, then uses evidence-based guidelines and machine learning to recommend treatment options with predicted longevity, risk factors, and cost estimates. It would help dentists explain plans to patients and reduce uncertainty.

Restorative and prosthodontic dentists, dental specialists, and general dentists involved in treatment planning complex cases.

Advances in AI and increased data availability allow for more accurate predictive modeling customized for dental clinical decisions.