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Date Published: 02/08/2021
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DOI: https://doi.org/10.51298/vmj.v503i1.725
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Vol. 503 No. 1 (2021)
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Trương Như Ngọc, V. ., & Thị Thu Hà, P. . (2021). EVALUATING THE VALUE OF DIAGNOSIS SUPPORT OF MACHINE LEARNING IN DIAGNOSIS OF MALPOSITION WISDOM TOOTH. Vietnam Medical Journal, 503(1). https://doi.org/10.51298/vmj.v503i1.725

EVALUATING THE VALUE OF DIAGNOSIS SUPPORT OF MACHINE LEARNING IN DIAGNOSIS OF MALPOSITION WISDOM TOOTH

Võ Trương Như Ngọc, Phùng Thị Thu Hà

Main Article Content

Abstract

Research objectives: The study was conducted on 100 X-ray films of patients with malpositon wisdom teeth to determine the capability of the diagnostic support of machine learning methods. Research subjects and methods: Machine learning software was built on the data set with 504 dental panoramic radiographs, the clinical trial was designed according to determining the sensitivity and specificity of the software. Results: In the total amount of 187 lower third molars, the dentist diagnosed 63 normal teeth, accounting for 33.7%, 124 malposition teeth, accounting for 66.3%. According to classification, type 1 has 42 teeth (22.5%), type 2 has 81 teeth (43.3%) and type 4 has 1 tooth (0.5%). When using software to diagnose: the learning machine could diagnose 187 teeth (100%). The learning machine had the same diagnosis with doctor in 149 teeth (79.68%). Conclusion: When using learning machine to support the diagnosis of malposition wisdom tooth pathology: the sensitivity and specificity were respectively 98.5%; 86% at the diagnosis with or without pathology.

Article Details

Keywords

diagnostic, wisdom teeth, deep learning

References

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