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Wyszukujesz frazę "periodontal health" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Evaluation of clinical effectiveness of Aloe vera - a review
Autorzy:
Zagórska-Dziok, Martyna
Furman-Toczek, Dominika
Dudra-Jastrzębska, Monika
Zygo, Karol
Stanisławek, Andrzej
Kapka-Skrzypczak, Lucyna
Powiązania:
https://bibliotekanauki.pl/articles/972712.pdf
Data publikacji:
2017
Wydawca:
Instytut Medycyny Wsi
Tematy:
wound healing
periodontal health
antidiabetic activity
Aloe vera
Opis:
Naturally occurring products have gained popularity in recent decades, especially due to their less adverse effects on human health. Various Aloe species are widespread all over the world. Aloe vera is one of the plants exhibiting multiple benefits and has gained considerable importance in clinical research. Historically, it has been used for a variety of medicinal purposes. It has attracted the attention of many researchers because of its different properties. More than 200 different biologically active substances were found in this plant that contributed to the fact it has been used to treat various types of diseases. The healthy effect of Aloe vera is primarily attributed to the polysaccharides contained in the gel of the leaves. It has been traditionally used to treat various conditions, including psoriasis, sunburn or radiation-related dermatitis, mucositis, oesophagitis or lichen planus. Aloe vera has also found application in wound healing, treatment of burns, protection against skin damage caused by X-ray, intestinal problems, reduction of plaque and gingivitis, regulating the levels of plasma lipoproteins, reduction of blood sugar levels and improving the immune system. Other biological activities of aloe, such as antifungal, antibacterial, antiviral, anti-inflammatory, anticancer and immunomodulatory have also been documented in numerous studies. This review examines the possible applications of Aloe vera in clinical trials.
Źródło:
Journal of Pre-Clinical and Clinical Research; 2017, 11, 1; 86-93
1898-2395
Pojawia się w:
Journal of Pre-Clinical and Clinical Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classification and segmentation of periodontal cystfor digital dental diagnosis using deep learning
Autorzy:
Lakshmi, T. K.
Dheeba, J.
Powiązania:
https://bibliotekanauki.pl/articles/38700996.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
CNN
dental radiograph
deep learning
health care
machine transfer learning
periodontal cyst
predictive analytics
segmentation
U-Net
VGG16
rentgenowskie zdjęcie zębów
uczenie głębokie
opieka zdrowotna
uczenie się z transferu maszynowego
torbiel przyzębia
analityka predykcyjna
segmentacja
Opis:
The digital revolution is changing every aspect of life by simulating the ways humansthink, learn and make decisions. Dentistry is one of the major fields where subsets ofartificial intelligence are extensively used for disease predictions. Periodontitis, the mostprevalent oral disease, is the main focus of this study. We propose methods for classifyingand segmenting periodontal cysts on dental radiographs using CNN, VGG16, and U-Net.Accuracy of 77.78% is obtained using CNN, and enhanced accuracy of 98.48% is obtainedthrough transfer learning with VGG16. The U-Net model also gives encouraging results.This study presents promising results, and in the future, the work can be extended withother pre-trained models and compared. Researchers working in this field can develop novelmethods and approaches to support dental practitioners and periodontists in decision-making and diagnosis and use artificial intelligence to bridge the gap between humansand machines.
Źródło:
Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 131-149
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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