Research map: Predicting Malignant Transformation in Oral Epithelial Dysplasia: A Systematic Comparison of Artificial Intelligence‐Based Risk Models and Pathologist‐Based Microscopy

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  1. Nomenclature and classification of potentially malignant disorders of the oral mucosa · Saman Warnakulasuriya · 2007 · 1779 citations · Cited by this paper
  2. Immunological Biomarkers in Oral Leukoplakia According to Oral Intraepithelial Neoplasia ( OIN ) Classification: A Comparative Analysis of Salivary and Plasma Cytokines · 2026 · Related
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  5. Oral potentially malignant disorders: A consensus report from an international seminar on nomenclature and classification, convened by the WHO Collaborating Centre for Oral Cancer · Saman Warnakulasuriya · 2020 · 1227 citations · Cited by this paper
  6. Assessment of Organ‐Specific Fibrotic Biomarkers in Patients With Oral Submucous Fibrosis · 2026 · Related
  7. Malignant transformation of oral leukoplakia: a systematic review of observational studies · Saman Warnakulasuriya · 2015 · 509 citations · Cited by this paper
  8. Imbalance of Free Radicals and Antioxidants in Oral Potentially Malignant Disorders and Oral Squamous Cell Carcinoma: A Review · 2026 · Related
  9. Evaluation of a new binary system of grading oral epithelial dysplasia for prediction of malignant transformation · Omar Kujan · 2006 · 485 citations · Cited by this paper
  10. Bridging the Health Literacy Gap for Patients With Oral Cancer: Readability Enhancement With AI Chatbots · 2026 · Related
  11. Malignant transformation of oral leukoplakia: a follow-up study of a hospital-based population of 166 patients with oral leukoplakia from The Netherlands · K.P. Schepman · 1998 · 365 citations · Cited by this paper
  12. No Evidence of Microsatellite Instability in Head and Neck Squamous Cell Carcinoma of Non‐Smokers and Non‐Drinkers · 2026 · Related
  13. Clinical features and presentation of oral potentially malignant disorders · Saman Warnakulasuriya · 2018 · 362 citations · Cited by this paper
  14. The Risk of Cardiometabolic Conditions Among Patients With Oral Candidiasis: A Global Large‐Scale Population‐Based Study · 2026 · Related
  15. Why oral histopathology suffers inter-observer variability on grading oral epithelial dysplasia: An attempt to understand the sources of variation · Omar Kujan · 2006 · 271 citations · Cited by this paper
  16. Evaluation of GPT ‐5, a Large Language Model, in Replicating German Clinical Practice Guideline Recommendations in Oral Oncology: A Cross‐Sectional Concordance Study · 2026 · Related
  17. Suicide risk among cancer survivors: Head and neck versus other cancers · Nosayaba Osazuwa‐Peters · 2018 · 252 citations · Cited by this paper
  18. Lymphatic Vessel Density or Area Are Not Reliable Prognostic Factors in Oral Cancer · 2026 · Related
  19. Factors predicting malignant transformation in oral potentially malignant disorders among patients accrued over a 10-year period in South East England · Saman Warnakulasuriya · 2011 · 244 citations · Cited by this paper
  20. Predicting Malignant Transformation in Oral Leukoplakia: A Multilayer Perceptron Approach Incorporating Clinicopathological Features and DNA Content · 2025 · Related
  21. Malignant transformation of oral epithelial dysplasia: a real-world evaluation of histopathologic grading · Fatima Dost · 2013 · 199 citations · Cited by this paper
  22. Perspectives on oral squamous cell carcinoma prevention—proliferation, position, progression and prediction · Peter James Thomson · 2018 · 186 citations · Cited by this paper
  23. Malignant transformation of oral leukoplakia in a well‐defined cohort of 144 patients · EREA Brouns · 2013 · 171 citations · Cited by this paper
  24. Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review · Hanya Mahmood · 2020 · 162 citations · Cited by this paper
  25. Oral cancer: Deregulated molecular events and their use as biomarkers · Nicoleta Sinevici · 2016 · 138 citations · Cited by this paper
  26. The binary oral dysplasia grading system: validity testing and suggested improvement · Paul Nankivell · 2012 · 112 citations · Cited by this paper
  27. Wnt/β-Catenin Signaling in Oral Carcinogenesis · Montserrat de Miguel Reyes · 2020 · 89 citations · Cited by this paper
  28. Oral epithelial dysplasia: clinical characteristics of western European residents · Mohamed Abdullah Jaber · 2003 · 65 citations · Cited by this paper
  29. Prediction of malignant transformation and recurrence of oral epithelial dysplasia using architectural and cytological feature specific prognostic models · Hanya Mahmood · 2022 · 55 citations · Cited by this paper
  30. Oral leukoplakia: A clinicopathological study and malignant transformation · Șerban Țovaru · 2022 · 47 citations · Cited by this paper
  31. Malignant transformation of oral leukoplakia: a follow-up study · Primali Rukmal Jayasooriya · 2020 · 45 citations · Cited by this paper
  32. Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approach · Anna Luíza Damaceno Araújo · 2023 · 44 citations · Cited by this paper
  33. A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia · Adam Shephard · 2024 · 43 citations · Cited by this paper
  34. Malignant transformation rate of oral leukoplakia in an Australian population · Kate Shearston · 2019 · 42 citations · Cited by this paper
  35. Deep learning‐based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia · Xinyi Zhang · 2023 · 42 citations · Cited by this paper
  36. Predicting malignant progression in clinically high-risk lesions by DNA ploidy analysis and dysplasia grading · Zuraiza Mohamad Zaini · 2018 · 40 citations · Cited by this paper
  37. Automated classification of oral premalignant lesions using image cytometry and Random Forests-based algorithms · Jonathan Baik · 2014 · 39 citations · Cited by this paper
  38. Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks · Yingci Liu · 2022 · 39 citations · Cited by this paper
  39. A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia · Raja Muhammad Saad Bashir · 2023 · 38 citations · Cited by this paper

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