AIMC Topic: Leukoplakia, Oral
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Sub-diffuse Reflectance Spectroscopy Combined With Machine Learning Method for Oral Mucosal Disease Identification.
Lasers in surgery and medicine
Apr 8, 2025
OBJECTIVES: Oral squamous cell carcinoma (OSCC) is the sixth-highest incidence of malignant tumors worldwide. However, early diagnosis is complex owing to the impracticality of biopsying every potentially premalignant intraoral lesion. Here, we prese...
Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia.
Scientific reports
Jan 29, 2025
Visual diagnosis is one of the key features of squamous cell carcinoma of the oral cavity (OSCC) and oropharynx (OPSCC), both subsets of head and neck squamous cell carcinoma (HNSCC) with a heterogeneous clinical appearance. Advancements in artificia...
Identification of genomic alteration and prognosis using pathomics-based artificial intelligence in oral leukoplakia and head and neck squamous cell carcinoma: a multicenter experimental study.
International journal of surgery (London, England)
Jan 1, 2025
BACKGROUND: Loss of chromosome 9p is an important biomarker in the malignant transformation of oral leukoplakia (OLK) to head and neck squamous cell carcinoma (HNSCC), and is associated with the prognosis of HNSCC patients. However, various challenge...
A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia.
Journal of dental research
Oct 9, 2024
Oral leukoplakia (OL) has an inherent disposition to develop oral cancer. OL with epithelial dysplasia (OED) is significantly likely to undergo malignant transformation; however, routine OED assessment is invasive and challenging. This study investig...
Detection of oral cancer and oral potentially malignant disorders using artificial intelligence-based image analysis.
Head & neck
Jun 11, 2024
BACKGROUND: We aimed to construct an artificial intelligence-based model for detecting oral cancer and dysplastic leukoplakia using oral cavity images captured with a single-lens reflex camera.
Prediction of the short-term efficacy and recurrence of photodynamic therapy in the treatment of oral leukoplakia based on deep learning.
Photodiagnosis and photodynamic therapy
Jun 6, 2024
BACKGROUND: The treatment of oral leukoplakia (OLK) with aminolaevulinic acid photodynamic therapy (ALA-PDT) is widespread. Nonetheless, there is variation in efficacy. Therefore, this study constructed a model for predicting the short-term efficacy ...
Oral epithelial dysplasia detection and grading in oral leukoplakia using deep learning.
BMC oral health
Apr 9, 2024
BACKGROUND: The grading of oral epithelial dysplasia is often time-consuming for oral pathologists and the results are poorly reproducible between observers. In this study, we aimed to establish an objective, accurate and useful detection and grading...
Deep learning-based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia.
Cancer medicine
Jan 31, 2023
BACKGROUND: Oral leukoplakia (OL) is associated with an increased risk for oral cancer (OC) development. Prediction of OL cancer progression may contribute to decreased OC morbidity and mortality by favoring early intervention. Current OL progression...
Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning.
Oral oncology
Jun 25, 2022
OBJECTIVES: To estimate the probability of malignancy of an oral leukoplakia lesion using Deep Learning, in terms of evolution to cancer and high-risk dysplasia.
Diagnostic Adjuncts and Biopsy Techniques for Oral Potentially Malignant Disorders and Oral Cavity Squamous Cell Carcinoma.
Dental clinics of North America
Jul 1, 2025
Diagnostic adjuncts for oral potentially malignant disorders such as leukoplakia or erythroplakia can aid the clinician in triaging abnormal lesions and facilitate both biopsy site selection and surgical management. No adjuncts replace gold standard ...
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