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|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|
| TITLE | Dental Image Analysis and Doctor Consultation using Machine Learning Technique |
|---|---|
| ABSTRACT | In medicine, artificial intelligence has offered new possibilities for accurate, effective, and convenient diagnosis. The primary objective of the project is to create an intelligent system with the capability for the analysis of dental images and consultation with physicians. Employing sophisticated image processing techniques, deep learning algorithms such as Convolutional Neural Networks, and object detection pipeline, the system automatically detects, classifies, and analyzes dental anomalies from radiographic images, i.e., cavities, periodontal disease, impacted teeth, and bone loss. A user interface presents the result of the analysis, giving patients and dentists a better sense of their oral health. A system also has an online consultation module by which patient can communicate with treatment-certified. This approach allows for better communication between patient and dental report, particularly in remote or underprivileged populations. |
| AUTHOR | Soundarya B, Adarsh M J |
| PUBLICATION DATE | 2025-09-01 19:32:47 |
| VOLUME | 13 |
| ISSUE | 3 |
| DOI | DOI: 10.15662/IJMSERH.2025.1303063 |
| pdf/2025/7/63_Dental Image Analysis and Doctor Consultation using Machine Learning Technique.pdf | |
| KEYWORDS |
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