Challenges in the early diagnosis of oral cancer, evidence gaps and strategies for improvement: a scoping review of systematic reviews
MÁ González-Moles, M Aguilar-Ruiz, P Ramos-García - Cancers, 2022 - mdpi.com
Simple Summary Oral cancer presents a worldwide incidence of 377,713 new cases and
177,757 deaths per year (GLOBOCAN, IARC, WHO). Oral squamous cell carcinoma (OSCC) …
177,757 deaths per year (GLOBOCAN, IARC, WHO). Oral squamous cell carcinoma (OSCC) …
Improving oral cancer outcomes with imaging and artificial intelligence
B Ilhan, K Lin, P Guneri… - Journal of dental …, 2020 - journals.sagepub.com
Early diagnosis is the most important determinant of oral and oropharyngeal squamous cell
carcinoma (OPSCC) outcomes, yet most of these cancers are detected late, when outcomes …
carcinoma (OPSCC) outcomes, yet most of these cancers are detected late, when outcomes …
Automated detection and classification of oral lesions using deep learning to detect oral potentially malignant disorders
G Tanriver, M Soluk Tekkesin, O Ergen - Cancers, 2021 - mdpi.com
Simple Summary Oral cancer is the most common type of head and neck cancer worldwide.
The detection of oral potentially malignant disorders, which carry a risk of developing into …
The detection of oral potentially malignant disorders, which carry a risk of developing into …
The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer
B Ilhan, P Guneri, P Wilder-Smith - Oral oncology, 2021 - Elsevier
Oral cancer (OC) is the sixth most commonly reported malignant disease globally, with high
rates of disease-related morbidity and mortality due to advanced loco-regional stage at …
rates of disease-related morbidity and mortality due to advanced loco-regional stage at …
Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer
BMS Maia, MCFR de Assis, LM de Lima… - Expert Systems with …, 2024 - Elsevier
The diagnosis of oral squamous cell carcinoma or oral leukoplakia and the presence or
absence of oral epithelial dysplasia is carried by pathologists. In recent years, deep learning …
absence of oral epithelial dysplasia is carried by pathologists. In recent years, deep learning …
Deep learning model for tongue cancer diagnosis using endoscopic images
In this study, we developed a deep learning model to identify patients with tongue cancer
based on a validated dataset comprising oral endoscopic images. We retrospectively …
based on a validated dataset comprising oral endoscopic images. We retrospectively …
Diagnostic delay of oral squamous cell carcinoma and the fear of diagnosis: A scoping review
R Mauceri, M Bazzano, M Coppini, P Tozzo… - Frontiers in …, 2022 - frontiersin.org
The mortality rate of patients affected with oral squamous cell carcinoma (OSCC) has been
stable in recent decades due to several factors, especially diagnostic delay, which is often …
stable in recent decades due to several factors, especially diagnostic delay, which is often …
Identification of novel MicroRNAs and their diagnostic and prognostic significance in oral cancer
Background: Oral cancer is one of the most prevalent cancers worldwide. Despite that the
oral cavity is easily accessible for clinical examinations, oral cancers are often not promptly …
oral cavity is easily accessible for clinical examinations, oral cancers are often not promptly …
Saliva‐based cell‐free DNA and cell‐free mitochondrial DNA in head and neck cancers have promising screening and early detection role
Abstract Background Cell‐free DNA (cfDNA) and cell‐free mitochondrial DNA (cf‐mtDNA)
have been postulated as potential diagnostic and prognostic biomarkers for different human …
have been postulated as potential diagnostic and prognostic biomarkers for different human …
Global, regional, and national burden and quality of care index (QCI) of lip and oral cavity cancer: a systematic analysis of the Global Burden of Disease Study 1990 …
A Sofi-Mahmudi, M Masinaei, E Shamsoddin… - BMC Oral Health, 2021 - Springer
Background To measure the quality of care for lip and oral cavity cancer worldwide using the
data from the Global Burden of Disease (GBD) Study 2017. Methods After devising four main …
data from the Global Burden of Disease (GBD) Study 2017. Methods After devising four main …