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Last Posted: May 07, 2024

• Survival estimation of oral cancer using fuzzy deep learning.
  Rachasak Somyanonthanakul et al. BMC Oral Health 2024 24(1) 519
• Deep learning in oral cancer- a systematic review.
  Kritsasith Warin et al. BMC Oral Health 2024 24(1) 212
• Identification of gene profiles related to the development of oral cancer using a deep learning technique.
  Leili Tapak et al. BMC medical genomics 2023 16(1) 35
• Liquid Biopsy for Oral Cancer Diagnosis: Recent Advances and Challenges
  Y Naito et al, J Per Med, February 8, 2023
• Deep learning-based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia.
  Xinyi Zhang et al. Cancer medicine 2023
• Explainable ensemble learning model improves identification of candidates for oral cancer screening.
  Adeoye John et al. Oral oncology 2022 136106278
• Novel Machine Learning Model to Predict Interval of Oral Cancer Recurrence for Surveillance Stratification.
  Bourdillon Alexandra T et al. The Laryngoscope 2022
• Cytogenetics in Oral Cancer: A Comprehensive Update.
  Sv Sowmya et al. The journal of contemporary dental practice 2022 23(1) 123-131
• The Fagerström and AUDIT Tests as Probable Screening Tools in Oral Cancer and Their Correlation with CYP1A1, GSTM1, GSTP1, and GSTT1 Gene Expression.
  Bandeira Celso Muller et al. International journal of environmental research and public health 2022 19(7)
• Artificial intelligence - can it be used to outsmart oral cancer?
  Baniulyte G et al. Evidence-based dentistry 2022 23(1) 12-13
• The salivary metatranscriptome as an accurate diagnostic indicator of oral cancer.
  Banavar Guruduth et al. NPJ genomic medicine 2021 6(1) 105
• End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions.
  Caughlin Kayla et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2021 20213894-3897
• Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.
  Warin Kritsasith et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2021
• Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.
  Alabi Rasheed Omobolaji et al. Artificial intelligence in medicine 2021 115102060
• The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer.
  Ilhan Betul et al. Oral oncology 2021 116105254
• Application of artificial intelligence and machine learning for prediction of oral cancer risk.
  Alhazmi Anwar et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2021 Jan
• Revisiting the metallothionein genes polymorphisms and the risk of oral squamous cell carcinoma in a Brazilian population.
  Rosa R-R et al. Medicina oral, patologia oral y cirugia bucal 2020 Dec
• Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival.
  Hung Man et al. World journal of clinical oncology 2020 Nov 11(11) 918-934
• Development of a Machine Learning Model for Survival Risk Stratification of Patients With Advanced Oral Cancer
  YJ Tseng et al, JAMA Network Open, August 21, 2020
• IGF2BP2 Polymorphisms Are Associated with Clinical Characteristics and Development of Oral Cancer.
  Chou Chia-Hsuan et al. International journal of molecular sciences 2020 Aug 21(16)
• Machine Learning and Treatment Outcome Prediction for Oral Cancer.
  Chu Chui Shan et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2020 Aug
• Identification of an Immune Score-Based Gene Panel with Prognostic Power for Oral Squamous Cell Carcinoma.
  Huang Su-Ning et al. Medical science monitor : international medical journal of experimental and clinical research 2020 Jun 26e922854
• Circulating miR-21 as a Potential Biomarker for the Diagnosis of Oral Cancer: A Systematic Review with Meta-Analysis.
  Dioguardi Mario et al. Cancers 2020 Apr 12(4)
• Prognostic Implications of DNA Repair, Ploidy and Telomerase in the Malignant Transformation Risk Assessment of Leukoplakia.
  Thomas Gigi et al. Asian Pacific journal of cancer prevention : APJCP 2020 Feb 21(2) 309-316
• Improving Oral Cancer Outcomes with Imaging and Artificial Intelligence.
  Ilhan B et al. Journal of dental research 2020 Mar 99(3) 241-248
• Promoter Hypermethylation of Tumor-Suppressor Genes p16 INK4a , RASSF1A , TIMP3 , and PCQAP/MED15 in Salivary DNA as a Quadruple Biomarker Panel for Early Detection of Oral and Oropharyngeal Cancers.
  Liyanage Chamikara et al. Biomolecules 2019 9(4)
• Oral Cancer: Genetics and the Role of Precision Medicine.
  Li Chia-Cheng et al. Surgical oncology clinics of North America 2020 Jan 29(1) 127-144
• Identification of Candidate Biomarkers and Analysis of Prognostic Values in Oral Squamous Cell Carcinoma.
  Huang Guang-Zhao et al. Frontiers in oncology 2019 91054
• The foundation of personalized medicine is the establishment of biobanks and their standardization.
  Policiuc Liliana et al. Journal of B.U.ON. : official journal of the Balkan Union of Oncology 23(3) 550-560
• Molecular Diagnostics in Oral Cancer and Oral Potentially Malignant Disorders - A Clinician's Guide.
  Yap Tami et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2019 Jul
• Recent Trends of Saliva Omics Biomarkers for the Diagnosis and Treatment of Oral Cancer.
  Chattopadhyay Indranil et al. Journal of oral biosciences 2019 Mar
• Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities.
  Uthoff Ross D et al. PloS one 2018 13(12) e0207493
• Deep learning-based survival prediction of oral cancer patients.
  Kim Dong Wook et al. Scientific reports 2019 May 9(1) 6994
• Role of community health worker in a mobile health program for early detection of oral cancer.
  Birur N Praveen et al. Indian journal of cancer 56(2) 107-113
• Machine learning and its potential applications to the genomic study of head and neck cancer - a systematic review.
  Patil Shankargouda et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2019 Mar
• Identification and characterization of TP53 gene Allele Dropout in Li-Fraumeni syndrome and Oral cancer cohorts.
  Haque Mohammed Moquitul et al. Scientific reports 2018 Aug 8(1) 11705
• Guidelines for the Surgical Management of Oral Cancer: Korean Society of Thyroid-Head and Neck Surgery.
  Joo Young-Hoon et al. Clinical and experimental otorhinolaryngology 2019 May 12(2) 107-144
• New Ads From Former Smokers
  CDC Tips Campaign, 2018
• Cost-Effectiveness Analysis of Using Loss of Heterozygosity to Manage Premalignant Oral Dysplasia in British Columbia, Canada.
  Cromwell Ian et al. The oncologist 2016 Sep 21(9) 1099-106
• A 16-gene signature predicting prognosis of patients with oral tongue squamous cell carcinoma.
  Qiu Zeting et al. PeerJ 2017 5e4062
• OMICS, Oral Cancer Molecular Landscapes, and Clinical Practice.
  D'Souza Wendy et al. Omics : a journal of integrative biology 2017 Nov
• Establishing and managing a periodontal biobank for research: the sharing of experience.
  Vaithilingam R D et al. Oral diseases 2015 Jan 21(1) e62-9
• Oral cancer
  From NCATS Genetic and Rare Diseases Information Center