AIMC Topic: Mouth Diseases

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Unexploited opportunities in oral disease biosensors and digital health integration.

Clinica chimica acta; international journal of clinical chemistry
Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous cell carcinoma (OSCC), represent significant global health challenges owing to their prevalence, complex management, and impact on patient quality of li...

NFR-EDL: Non-linear fuzzy rank-based ensemble deep learning for accurate diagnosis of oral and dental diseases using RGB color photography.

Computers in biology and medicine
BACKGROUND: Oral health plays a vital role in our daily lives, affecting essential activities like eating, speaking, and smiling. Poor oral health can lead to significant social, psychological, and physical consequences, which makes early and accurat...

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

BMC oral health
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...

[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
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...