Convolutional neural networks trained algorithm may help diagnose alveolar bone loss in periapical X-rays
Written By : Dr. Shravani Dali
Medically Reviewed By : Dr. Kamal Kant Kohli
Published On 2022-09-23 15:00 GMT | Update On 2022-09-23 15:01 GMT
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A convolutional neural networks trained algorithm on radiographic images showed a diagnostic performance with moderate to good reliability to detect and quantify percentage alveolar bone loss in periapical radiographs according to a recent study published in the International Dental Journal
The objective of this research was to perform a pilot study to develop an automatic analysis of periapical radiographs from patients with and without periodontitis for the percentage of alveolar bone loss (ABL) on the approximal surfaces of teeth using a supervised machine learning model, that is, convolutional neural networks (CNN).
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