ArticleCancers2021
Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.
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Who cites it
52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 135 citations in OpenAlex.
- Detection of oral potentially malignant disorders and oral cancer with white light through deep learning: a systematic review and meta-analysis.Clinical oral investigations · 2026Pooled it
- Artificial intelligence for oral cancer diagnosis: a systematic review and meta-analysis of image-based and non-imaging models.BMC cancer · 2026Pooled it
- Neural networks for classification of cervical vertebrae maturation: a systematic review.The Angle orthodontist · 2022Pooled it
- Quercetin as a Therapeutic Agent for Oral Cancer: Current Evidence and Future Directions.Asia-Pacific journal of clinical oncology · 2026Review
- Predictors of Lesion Detection in a 12-Year Oral Cancer Screening Program: A Cohort Study in Northern Portugal.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026Article
- Use of Artificial Intelligence in the Early Diagnosis of Oral Cancer: Current Update, Limitations and Future Perspectives.Journal of dentistry (Shiraz, Iran) · 2026Article
- Virtual assistants based on artificial intelligence for oral diagnosis: help for clinicians AI oral diagnosis helper.Diagnostic pathology · 2026Article
- Early detection in oral cancer: are we ready for AI-driven precision?Annals of medicine and surgery (2012) · 2026Article
- Artificial intelligence and its application in early oral cancer screening: a systematic review.Frontiers in oncology · 2026Review
- Artificial Intelligence in Oral Cancer Diagnosis: Overcoming Challenges for Enhanced Outcomes.Current medicinal chemistry · 2026Review
- Early detection in oral cancer: Are we prepared for artificial intelligence-driven precision medicine?Annals of medicine and surgery (2012) · 2026Article
- Molecular and microenvironmental drivers of malignant transformation from oral potentially malignant disorders to oral squamous cell carcinoma.Frontiers in oncology · 2026Review
- "Enhancing early detection of oral cancer: a comparative study of artificial intelligence models and clinical specialist in lesion classification".BMC cancer · 2025Article
- Deep learning-based artificial intelligence models predict survival in patients with oral cavity squamous cell carcinoma.Scientific reports · 2025Article
- AI in Early Diagnosis and Prevention of Oral Cancer: A Systematic Review and Meta-analysis.Journal of pharmacy & bioallied sciences · 2025Review
- Detect pre-cancerous tongue lesions for early oral cancer diagnosis using deep learning algorithm.Scientific reports · 2025Article
- Visualization and bibliometric analysis of global research trends on oral cancer screening and early diagnosis.Discover oncology · 2025Article
- Evaluation of deepseek, gemini, ChatGPT-4o, and perplexity in responding to salivary gland cancer.BMC oral health · 2025Article
- A bibliometric analysis reveals a dynamic growth in the use of artificial intelligence in oral cancer research over three decades.Discover oncology · 2025Article
- Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The early diagnosis of cancer can facilitate subsequent clinical patient management. Artificial intelligence (AI) has been found to be promising for improving the diagnostic process. The aim of the present study is to increase the evidence on the application of AI to the early diagnosis of oral cancer through a scoping review. A search was performed in the PubMed, Web of Science, Embase and Google Scholar databases during the period from January 2000 to December 2020, referring to the early non-invasive diagnosis of oral cancer based on AI applied to screening. Only accessible full-text articles were considered. Thirty-six studies were included on the early detection of oral cancer based on images (photographs (optical imaging and enhancement technology) and cytology) with the application of AI models. These studies were characterized by their heterogeneous nature. Each publication involved a different algorithm with potential training data bias and few comparative data for AI interpretation. Artificial intelligence may play an important role in precisely predicting the development of oral cancer, though several methodological issues need to be addressed in parallel to the advances in AI techniques, in order to allow large-scale transfer of the latter to population-based detection protocols.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.