Abstract
Several dental infections ranging from dental caries to periodontitis and ending in oral malignancies create a significant global healthcare concern. Advanced artificial intelligence (AI) systems can now demonstrate powerful capabilities for automated identification of various dental conditions while reducing the need for human professionals to perform diagnostic tasks manually and saving their valuable treatment time. The review details up-to-date AI detection techniques which focus on three major dental infections by assessing research work from 2017 to 2024 utilizing different types of radiographic images. The article accounts for examination of numerous diagnosis structures and their diagnostic applications in dentistry through a well-structured comparative analysis revealing both infection types and implemented deep learning (DL) algorithms. This review delivers an essential critical assessment of the present situation which functions as an important reference for dental practitioners and researchers in understanding AI tooth infection detection methods better, while guiding the upcoming developments in dental AI applications.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 713-720 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798331535193 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 - Salem, India Duration: 14-05-2025 → 16-05-2025 |
Publication series
| Name | Proceedings of 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 |
|---|
Conference
| Conference | 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 |
|---|---|
| Country/Territory | India |
| City | Salem |
| Period | 14-05-25 → 16-05-25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Communication
- Artificial Intelligence
- Computer Networks and Communications
- Safety, Risk, Reliability and Quality
- Modelling and Simulation
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