Deep learning based dental implant failure prediction from periapical and panoramic films.

ABSTRACT:

Background

Dental implant failure is a critical condition that can seriously compromise therapeutic efficacy. Insufficient bone volume, unfavorable bone quality, periodontal bone loss, and systemic conditions, including osteopenia/osteoporosis and diabetes mellitus, have been associated with implant failure. Early indicators of potential implant failure could help mitigate the risk of severe complications. This study aimed to develop an effective implant outcome prediction model using dental periapical and panoramic films.

Methods

A total of 248 patients (89 with failed implants and 159 with successful implants) were examined. A total of 529 periapical images and 551 panoramic images were collected from the patients for a deep learning-based model. Based on radiographic peri

SUBMITTER: Zhang C 

PROVIDER: S-EPMC9929426 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature