Potential of Artificial Intelligence to Generate Health Research Reports of Decayed, Missed and Restored Teeth
সংরক্ষণ করুন:
| লেখক: | , , , , , , |
|---|---|
| বিন্যাস: | artículo original |
| বর্তমান অবস্থা: | Versión publicada |
| প্রকাশনার তারিখ: | 2024 |
| বিবরন: | This study aims to indicate the potential of artificial intelligence (AI) in epidemiological reports of decayed, missed and restored teeth. As a proof of concept our study model used panoramic x-ray images and an AI algorithm for tooth numbering, detection of the caries and restorations with accuracy over 80% for such diagnostic tasks. The output came as the number of decayed, missed and restored teeth according to patient´s age and the DMFT index (number of decayed, missing, and filled teeth) which varied from 3.6 (up to 20 years old) to 20.4 (+60 years old). Thus, it is suggested that AI is a promising method to automate health data collection through the analysis of x-rays. |
| দেশ: | Portal de Revistas UCR |
| প্রতিষ্ঠান: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| ভাষা: | Inglés |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/59184 |
| অনলাইন ব্যবহার করুন: | https://archivo.revistas.ucr.ac.cr/index.php/Odontos/article/view/59184 |
| মুখ্য শব্দ: | Artificial intelligence; Radiology; Dentistry; Radiography Inteligencia artificial; Radiología; Odontología; Radiografía |