The accuracy of the prediction models for surface roughness and micro hardness of denture teeth

Deniz, Sule Tugba; Özkan, Pelin; Özkan, Gülay

doi:10.4012/dmj.2018-014

Cited by 10 publications

(6 citation statements)

References 26 publications

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“…A total of 13 studies were included to review the outcome of prosthodontic treatments using AI (Table 4). Among the 13 studies, 6 studies used AI in the prediction of dental prosthesis treatment outcomes [20][21][22][23][24][25]. One of the studies aimed to predict facial deformation after the insertion of complete dentures using a backpropagation (BP) neural network model.…”

Section: Prediction Of Prosthodontic Treatmentmentioning

confidence: 99%

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The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review

Aljulayfi,

Almatrafi,

Althubaitiy

et al. 2024

Med Sci Monit

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Prosthodontics is a dental subspecialty that includes the preparation of dental prosthetics for missing or damaged teeth. It increasingly uses computer-assisted technologies for planning and preparing dental prosthetics. This study aims to present the findings from a systematic review of publications on artificial intelligence (AI) in prosthodontics to identify current trends and future opportunities. The review question was "What are the applications of AI in prosthodontics and how good is their performance in prosthodontics?" Electronic searching in the Web of Science, ScienceDirect, PubMed, and Cochrane Library was conducted. The search was limited to full text from January 2012 to January 2024. Quadas-2 was used for assessing quality and potential risk of bias for the selected studies. A total of 1925 studies were identified in the initial search. After removing the duplicates and applying exclusion criteria, a total of 30 studies were selected for this review. Results of the Quadas-2 assessment of included studies found that a total of 18.3% of studies were identified as low risk of bias studies, whereas 52.6% and 28.9% of included studies were identified as studies with high and unclear risk of bias, respectively. Although they are still developing, AI models have already shown promise in the areas of dental charting, tooth shade selection, automated restoration design, mapping the preparation finishing line, manufacturing casting optimization, predicting facial changes in patients wearing removable prostheses, and designing removable partial dentures.

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Section: Prediction Of Prosthodontic Treatmentmentioning

confidence: 99%

“…Deniz S et al [22] used an ANN model to predict the surface roughness and microhardness of denture teeth and found that the experimental data were distributed along the ANN predicted line when the mean error of 7.6596 for microhardness and surface roughness were 4.0012.…”

Section: Prediction Of Prosthodontic Treatmentmentioning

confidence: 99%

The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review

Aljulayfi,

Almatrafi,

Althubaitiy

et al. 2024

Med Sci Monit

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“…Bahan gigi artifisial yang umum digunakan adalah resin akrilik dan porselen. 1,2 Gigi artifisial resin akrilik diperkenalkan sejak tahun 1937 dan masih digunakan sampai sekarang karena memiliki kelebihan, seperti mudah dimanipulasi, mudah dipoles, tidak mengikis gigi-gigi asli antagonis dan memiliki kekuatan ikatan yang baik dengan basis gigi tiruan. 3 Resin akrilik polimerisasi panas (RAPP) merupakan pilihan yang sering digunakan untuk pembuatan gigi tiruan karena estetis, tahan terhadap fraktur, harganya relatif murah, biokompatibel, mudah direparasi, mudah dimanipulasi dan mudah dipoles.…”

Section: Pendahuluanunclassified

Pengaruh perendaman gigi artifisial resin akrilik dalam ekstrak daun kemangi terhadap perubahan warna The effect of immersion acrylic resin artificial teeth in basil leaves extract on color changes

Amanda

Wahyuni²

2023

Padjadjaran J Dent Res Students

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Pendahuluan: Gigi artifisial resin akrilik adalah pengganti gigi asli yang telah hilang dan merupakan komponen terpenting dari gigi tiruan dalam memulihkan fungsi estetis, mastikasi dan fonetik. Pembersih gigi tiruan berbahan kimia dapat memengaruhi sifat mekanis dan fisik resin akrilik. Pembersih gigi tiruan alami digunakan sebagai alternatif untuk meminimalkan efek yang ditimbulkan oleh pembersih gigi tiruan berbahan kimia. Ekstrak daun kemangi 12,5% digunakan sebagai alternatif bahan pembersih gigi tiruan. Tujuan penelitian menganalisis pengaruh perendaman gigi artifisial resin akrilik dalam ekstrak daun kemangi 12,5% dan alkalin peroksida selama 5 hari terhadap perubahan warna. Metode: Jenis penelitian eksperimental laboratoris. Sampel yang digunakan adalah 30 gigi artifisial resin akrilik insisivus sentral rahang atas untuk diuji dengan ukuran sampel 20x20x6mm dibagi 3 kelompok perendaman yaitu perendaman dalam ekstrak daun kemangi 12,5%; alkalin peroksida; aquabides. Perubahan warna diukur menggunakan colorimeter pada permukaan labial gigi artifisial. Hasil data dianalisis dengan uji One-way Anova dan dilanjutkan dengan uji LSD Hasil: Nilai rerata perubahan warna gigi artifisial resin akrilik setelah direndam dalam ekstrak daun kemangi 12,5% selama 5 hari = ∆E 1,86±0,17, alkalin peroksida = ∆E 3,48±0,21 ,dan aquades = ∆E 1,20±0,15 dengan nilai p=0,0001(p<0,05). Simpulan: Terdapat pengaruh perendaman gigi artifisial resin akrilik dalam ekstrak daun kemangi 12,5% dan alkalin peroksida selama 5 hari terhadap perubahan warna. Ekstrak daun kemangi 12,5% dapat digunakan sebagai bahan alternatif pembersih gigi tiruan karena perubahan warna yang terjadi masih dalam rentang nilai yang diterima secara klinis pada resin akrilik. KATA KUNCI gigi artifisial resin akrilik, ekstrak kemangi, perubahan warna.

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“…BPNN acts as an interactive gradient model to reduce color mismatches between the predicted shade and the target shade. In backward propagation, when the color mismatch exceeds an acceptable limit, the shade determination process is back‐propagated by tuning the weights and biases, as a result, the process resumes till the color mismatch decreases to the acceptable limit 153 . For training a CCM system in dentistry by using BPNN, the color coordinates of a set of specimens can be used as inputs, while their equivalent porcelain powder recipes such as the weight of different types/layers of porcelain (body dentin and enamel) serve as outputs 154 .…”

Section: Tooth Shade Determinationmentioning

confidence: 99%

Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review

Tabatabaian

Vora

Mirabbasi

2023

J Esthet Restor Dent

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ObjectiveThe applications of artificial intelligence (AI) are increasing in restorative dentistry; however, the AI performance is unclear for dental professionals. The purpose of this narrative review was to evaluate the applications, functions, and accuracy of AI in diverse aspects of restorative dentistry including caries detection, tooth preparation margin detection, tooth restoration design, metal structure casting, dental restoration/implant detection, removable partial denture design, and tooth shade determination.OverviewAn electronic search was performed on Medline/PubMed, Embase, Web of Science, Cochrane, Scopus, and Google Scholar databases. English‐language articles, published from January 1, 2000, to March 1, 2022, relevant to the aforementioned aspects were selected using the key terms of artificial intelligence, machine learning, deep learning, artificial neural networks, convolutional neural networks, clustering, soft computing, automated planning, computational learning, computer vision, and automated reasoning as inclusion criteria. A manual search was also performed. Therefore, 157 articles were included, reviewed, and discussed.ConclusionsBased on the current literature, the AI models have shown promising performance in the mentioned aspects when being compared with traditional approaches in terms of accuracy; however, as these models are still in development, more studies are required to validate their accuracy and apply them to routine clinical practice.Clinical Significance: AI with its specific functions has shown successful applications with acceptable accuracy in diverse aspects of restorative dentistry. The understanding of these functions may lead to novel applications with optimal accuracy for AI in restorative dentistry.

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The accuracy of the prediction models for surface roughness and micro hardness of denture teeth

Cited by 10 publications

References 26 publications

The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review

The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review

<p><strong>Pengaruh perendaman gigi artifisial resin akrilik dalam ekstrak daun kemangi terhadap perubahan warna</p></strong><em/><p><strong> The effect of immersion acrylic resin artificial teeth in basil leaves extract on color changes</p></strong>

Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review

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