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Journal of Periodontal & Implant Science· 2018Q1

Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

Jae‐Hong Lee, Do‐Hyung Kim, Seong‐Nyum Jeong, Seong‐Ho Choi

Short summary

A deep convolutional neural network (CNN) algorithm achieved 81.0% diagnostic accuracy for premolars and 76.7% for molars in identifying periodontally compromised teeth (PCT) from periapical radiographs.

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Field: Oral Surgery

Oral SurgeryDentistry