AIMC Topic: Mouth Diseases

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Application of machine learning for the analysis of peripheral blood biomarkers in oral mucosal diseases: a cross-sectional study.

BMC oral health May 10, 2025
BACKGROUND: Oral mucosal lesions are widespread globally, have a high prevalence in clinical practice, and significantly impact patients' quality of life. However, their pathogenesis remains unclear. Recent evidences suggested that hematological para...
Humans Machine Learning Biomarkers Female Aged Adult Cross-Sectional Studies Male Middle Aged Case-Control Studies Zinc Iron Micronutrients Immunoglobulins Lichen Planus, Oral Mouth Diseases Stomatitis, Aphthous Burning Mouth Syndrome Glossitis
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[Scale-invariant feature-enhanced deep learning framework for oral mucosal lesion segmentation].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Mar 9, 2025
To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions. This investigation utilized 838 stand...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Mouth Diseases Mouth Mucosa
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Technology: Artificial intelligence.

British dental journal Jun 22, 2018
Humans Artificial Intelligence Education, Dental Curriculum Mouth Diseases
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