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cubic svm based algorithm  (Aslan Pharmaceuticals)

 
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    Aslan Pharmaceuticals cubic svm based algorithm
    Summary of related studies for AI application in periodontology.
    Cubic Svm Based Algorithm, supplied by Aslan Pharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/svm-based+algorithms/cubic+svm+based+algorithm/pmc09690084-55-10-3
    Average 90 stars, based on 1 article reviews
    cubic svm based algorithm - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives"

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

    Journal: Healthcare

    doi: 10.3390/healthcare10112188

    Summary of related studies for AI application in periodontology.
    Figure Legend Snippet: Summary of related studies for AI application in periodontology.

    Techniques Used: Biomarker Discovery, Diagnostic Assay

    Summary of related studies for AI application in orthodontics.
    Figure Legend Snippet: Summary of related studies for AI application in orthodontics.

    Techniques Used: Biomarker Discovery, Plasmid Preparation, Extraction, Modification

    Summary of related studies for AI application in prosthetic/restorative dentistry.
    Figure Legend Snippet: Summary of related studies for AI application in prosthetic/restorative dentistry.

    Techniques Used: Biomarker Discovery, Extraction

    Related Articles

    Biomarker Discovery:

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives
    Article Snippet: prognosis , Three prosthodontists , NA , Accuracy: 0.841 , The model was helpful in determining tooth prognosis for effective treatment planning. .. Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health. .. Disease diagnosis , Lee et al. 2020 [ ] , Fine Tuned and pretrained Deep CNN , Panoramic and periapical radiographs , 10,770 images, Train: 6462 image

    Diagnostic Assay:

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives
    Article Snippet: prognosis , Three prosthodontists , NA , Accuracy: 0.841 , The model was helpful in determining tooth prognosis for effective treatment planning. .. Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health. .. Disease diagnosis , Lee et al. 2020 [ ] , Fine Tuned and pretrained Deep CNN , Panoramic and periapical radiographs , 10,770 images, Train: 6462 image

    Plasmid Preparation:

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives
    Article Snippet: prognosis , Three prosthodontists , NA , Accuracy: 0.841 , The model was helpful in determining tooth prognosis for effective treatment planning. .. Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health. .. Disease diagnosis , Lee et al. 2020 [ ] , Fine Tuned and pretrained Deep CNN , Panoramic and periapical radiographs , 10,770 images, Train: 6462 image

    Extraction:

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives
    Article Snippet: prognosis , Three prosthodontists , NA , Accuracy: 0.841 , The model was helpful in determining tooth prognosis for effective treatment planning. .. Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health. .. Disease diagnosis , Lee et al. 2020 [ ] , Fine Tuned and pretrained Deep CNN , Panoramic and periapical radiographs , 10,770 images, Train: 6462 image

    Modification:

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives
    Article Snippet: prognosis , Three prosthodontists , NA , Accuracy: 0.841 , The model was helpful in determining tooth prognosis for effective treatment planning. .. Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health. .. Disease diagnosis , Lee et al. 2020 [ ] , Fine Tuned and pretrained Deep CNN , Panoramic and periapical radiographs , 10,770 images, Train: 6462 image



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    Image Search Results


    Summary of related studies for AI application in periodontology.

    Journal: Healthcare

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

    doi: 10.3390/healthcare10112188

    Figure Lengend Snippet: Summary of related studies for AI application in periodontology.

    Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

    Techniques: Biomarker Discovery, Diagnostic Assay

    Summary of related studies for AI application in orthodontics.

    Journal: Healthcare

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

    doi: 10.3390/healthcare10112188

    Figure Lengend Snippet: Summary of related studies for AI application in orthodontics.

    Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

    Techniques: Biomarker Discovery, Plasmid Preparation, Extraction, Modification

    Summary of related studies for AI application in prosthetic/restorative dentistry.

    Journal: Healthcare

    Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

    doi: 10.3390/healthcare10112188

    Figure Lengend Snippet: Summary of related studies for AI application in prosthetic/restorative dentistry.

    Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

    Techniques: Biomarker Discovery, Extraction

    Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

    Journal: Ultrasound in medicine & biology

    Article Title: A New Multi-Model Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors

    doi: 10.1016/j.ultrasmedbio.2019.09.004

    Figure Lengend Snippet: Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

    Article Snippet: The ML-based algorithm SVM had excellent diagnostic performance in datasets acquired from Siemens and Philips systems; this result is despite the fact that these two vendors used different elastography techniques.

    Techniques: