What question did this study set out to answer?

To evaluate the performance of an automated deep convolutional neural network in classifying dental implant systems from radiographic images compared with dental professionals.

November 7, 2020DiagnosticsOpen Access

A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study

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To evaluate the performance of an automated deep convolutional neural network in classifying dental implant systems from radiographic images compared with dental professionals.
Collected 11,980 panoramic and periapical radiographic images representing six dental implant systems from three dental hospitals, allocating them into training (n = 9,584) and testing (n = 2,396) datasets.
Assessed diagnostic classification on 180 randomly selected test images, comparing the trained automated algorithm against 25 dental professionals (six board-certified periodontists, eight periodontology residents, and 11 non-specialized residents).
The automated network achieved an area under the curve of 0.954, a Youden index of 0.808, a sensitivity of 0.955, and a specificity of 0.853.
The automated deep learning model outperformed most participating dental professionals, successfully distinguishing between different implant systems with similar visual profiles.

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Implication

Multi-center study demonstrates deep learning outperforms clinicians in classifying dental implant systems from radiographs, highlighting its potential utility in clinical dental practice.

Cite This Study

Lee et al. (2020) studied this question.

synapsesocial.com/papers/6a7ab71d2eb3c7e469f41c83 https://doi.org/10.3390/diagnostics10110910

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Implication

Multi-center study demonstrates deep learning outperforms clinicians in classifying dental implant systems from radiographs, highlighting its potential utility in clinical dental practice.

A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study

Key Points

Discussion

Implication

Cite This Study

A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study

Key Points

Discussion

Implication

Cite This Study

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