AIMC Topic: Mouth Neoplasms
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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...
High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma.
Scientific data
Sep 27, 2024
Oral cancer is a global health challenge with a difficult histopathological diagnosis. The accurate histopathological interpretation of oral cancer tissue samples remains difficult. However, early diagnosis is very challenging due to a lack of experi...
Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography.
BMC oral health
Sep 19, 2024
BACKGROUND: This study aims to evaluate the integration of optical coherence tomography (OCT) and peripheral blood immune indicators for predicting oral cancer prognosis by artificial intelligence.
Deep learning-enabled fluorescence imaging for surgical guidance: training for oral cancer depth quantification.
Journal of biomedical optics
Sep 18, 2024
SIGNIFICANCE: Oral cancer surgery requires accurate margin delineation to balance complete resection with post-operative functionality. Current fluorescence imaging systems provide two-dimensional margin assessment yet fail to quantify tumor depth p...
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Sep 11, 2024
Oral squamous cell carcinoma recognition presents a challenge due to late diagnosis and costly data acquisition. A cost-efficient, computerized screening system is crucial for early disease detection, minimizing the need for expert intervention and e...
Deep Learning-Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.
Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Sep 10, 2024
BACKGROUND: Artificial intelligence (AI)-based tools have shown promise in histopathology image analysis in improving the accuracy of oral squamous cell carcinoma (OSCC) detection with intent to reduce human error.
The risks of artificial intelligence: A narrative review and ethical reflection from an Oral Medicine group.
Oral diseases
Aug 23, 2024
As a relatively new tool, the use of artificial intelligence (AI) in medicine and dentistry has the potential to significantly transform the healthcare sector. AI has already demonstrated efficacy in medical diagnosis across several specialties, used...
Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia.
Tissue engineering. Part A
Aug 7, 2024
Oral squamous cell carcinoma (OSCC) is a highly unpredictable disease with devastating mortality rates that have not changed over the past decades, in the face of advancements in treatments and biomarkers, which have improved survival for other cance...
Artificial Intelligence-Driven Multiomics Network Analysis Reveals Resistance Mechanisms in Oral Cancer.
International dental journal
Aug 2, 2024
Diagnostic Accuracy of Artificial Intelligence Compared to Biopsy in Detecting Early Oral Squamous Cell Carcinoma: A Systematic Review and Meta Analysis.
Asian Pacific journal of cancer prevention : APJCP
Aug 1, 2024
OBJECTIVE: To summarize and compare the existing evidence on diagnostic accuracy of artificial intelligence (AI) models in detecting early oral squamous cell carcinoma (OSCC).
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