Early Detection of Human Dental Defects by Using Deep Learning
Deep learning utilizes advanced neural networks, particularly convolutional neural networks (CNNs), to analyse dental images such as X-rays, CT scans, and intraoral photographs with high precision. Early intervention and improved treatment outcomes are guaranteed by these AI-driven models' ability to recognize minor anomalies that traditional diagnostic techniques can overlook. Additionally, using past patient data, deep learning helps dentists anticipate possible oral health problems through predictive analytics. Additionally, this technology makes automated diagnoses possible, which lessens the workload for dental practitioners and boosts productivity. Therefore, deep learning not only improves accuracy but also helps modern dentistry becoming more efficient and focused on patients.
Authors
- Vani Santhosh
- M. Srinivas
- Abhijith L Kotian
- Sultan Nadaf
- Vishal Poonacha K G
- Shivaleela Aragoddi
Institutions
- Institute of Engineering (NP)
Publication Details
- Published
- 2025-07-04
- DOI
- https://doi.org/10.1109/icctdc64446.2025.11158003
- Citations
- 1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.79