MACHINE LEARNING PREDICTION OF PULPECTOMY FURCATION LESIONS USING RADIOGRAPHIC IMAGES

Authors

  • Thiru kumaran V, Dr Dinesh Kumar Author

DOI:

https://doi.org/10.48047/c4465r51

Keywords:

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Abstract

Pulpectomy is a common endodontic procedure in pediatric dentistry aimed at preserving primary teeth affected by pulpal pathology. One of the significant complications associated with pulpectomy-treated teeth is the development of furcation lesions, which occur due to the anatomical characteristics of primary molars, including accessory canals in the furcation region. Early and accurate detection of these lesions is  essential to prevent treatment failure and ensure proper oral health outcomes. 

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References

Ahmad M, Durr-E-Sadaf, Gaikwad R, Arjumand B. Comparison of two different matrix band systems in restoring two surface cavities in posterior teeth done by senior undergraduate students at Qassim University, Saudi Arabia: A randomized controlled clinical trial [Internet]. Vol. 29, Indian Journal of Dental Research. 2018. p. 459. Available from: http://dx.doi.org/10.4103/ijdr.ijdr_26_17

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Published

2024-11-20

How to Cite

MACHINE LEARNING PREDICTION OF PULPECTOMY FURCATION LESIONS USING RADIOGRAPHIC IMAGES (Thiru kumaran V, Dr Dinesh Kumar , Trans.). (2024). Cuestiones De Fisioterapia, 53(03), 7290-7296. https://doi.org/10.48047/c4465r51