EnAImel: Artificial Intelligence-Powered Dental Disease Detection
Unmet Medical Need: Periodontal disease, characterized by progressive bone loss, and caries (cavities) are the two most common dental conditions, impacting nearly 50% of U.S. adults. Diagnosis and monitoring of periodontal disease and caries currently rely on qualitative assessment of dental radiographs.
Envisioned Healthcare Product: The team of Drs. Helen Lu, Sunil Wadhwa, and Michael T. Yin developed an artificial intelligence (AI) algorithm for rapid and accurate assessment of dental radiographs for detection and monitoring of bone loss. This innovative approach to radiographic assessment could improve diagnostic accuracy and throughput, enable longitudinal tracking of disease state, and inform treatment strategies in patients with periodontal disease and caries.
Stage of Development: Pre-Clinical Testing
Collaborative Research Team: Helen Lu, PhD, Sunil Wadhwa, DDS, and Michael T. Yin, MD
Funding Cycle: 2022 - 2023