University of Hong Kong (HKU)

AI for Head and Neck Oncology Lab

Journal Publications

2025

  1. Braimah RO, Adeoye J, Taiwo AO, Bello S, Bala M, Butali A, Ile-Ogedengbe BO, Bello AA. Estimated incidence and clinical presentation of Noma in Northern Nigeria (1999-2024). PLoS Negl Trop Dis. 2025 May 29;19(5):e0012818.
  2. Adeoye J, Su Y-X. Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions. Intelligent Medicine. 2025;5(2):141-150

2024

  1. Adeoye J, Chaurasia A, Akinshipo A, Suleiman IK, Zheng LW, Lo AWI, Pu JJ, Bello S, Oginni FO, Agho ET, Braimah RO, Su YX. A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia. J Dent Res. 2024;103(12):1218-1226.
  2. Adeoye J, Su Y-X. Validity of nomograms for predicting cancer risk in oral leukoplakia and oral lichen planus. Oral Dis. 2024;30(5):3039-3051.
  3. Adeoye J, Su Y-X. Leveraging artificial intelligence for perioperative cancer risk assessment of oral potentially malignant disorders. Int J Surg. 2024;110(3):1677-1686.
  4. Adeoye J, Su Y-X. Artificial intelligence in salivary biomarker discovery and validation for oral diseases Oral Dis. 2024;30(1):23-37.

2023

  1. Adeoye J, Koohi-Moghadam M, Choi S-W, Zheng L-W, Lo AWI, Tsang RK-Y, Chow VLY, Akinshipo A, Thomson P, Su Y-X. Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning. Journal of Big Data. 2023;10(1):39.
  2. Adeoye J, Hui L, Su Y-X. Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer. Journal of Big Data. 2023;10(1):28.
  3. Adeoye J, Zheng LW, Thomson P, Choi SW, Su YX. Explainable ensemble learning model improves identification of candidates for oral cancer screening. Oral Oncol. 2023;136:106278.

2022

  1. Adeoye J, Akinshipo A, Koohi-Moghadam M, Thomson P, Su YX. Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review. Front Oncol. 2022;12:976168.
  2. Adeoye J, Wan CCJ, Zheng LW, Thomson P, Choi SW, Su YX. Machine Learning-Based Genome-Wide Salivary DNA Methylation Analysis for Identification of Noninvasive Biomarkers in Oral Cancer Diagnosis. Cancers 2022;14(19):4935.
  3. Adeoye J, Sakeen Alkandari A, Tan JY, Wang W, Zhu WY, Thomson P, Zheng LW, Choi SW, Su YX. Performance of a simplified scoring system for risk stratification in oral cancer and oral potentially malignant disorders screening. J Oral Pathol Med. 2022;51(5):464-473.
  4. Adeoye J, Akinshipo A, Thomson P, Su YX. Artificial intelligence-based prediction for cancer-related outcomes in Africa: Status and potential refinements. J Glob Health. 2022;12:03017.
  5. Adeoye J, Chu CS, Choi SW, Thomson P. Oral Cancer Awareness and Individuals' Inclination to Its Screening and Risk Prediction in Hong Kong. J Cancer Educ. 2022;37(2):439-448.
  6. Adeoye J, Alade AA, Zhu WY, Wang W, Choi SW, Thomson P. Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta-analysis. Oral Dis. 2022;28(3):541-558.
  7. Adeoye J, Hui L, Koohi-Moghadam M, Tan JY, Choi SW, Thomson P. Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis. Int J Med Inform. 2022;157:104635.

2021

  1. Adeoye J, Koohi-Moghadam M, Lo AWI, Tsang RK, Chow VLY, Zheng LW, Choi SW, Thomson P, Su YX. Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders. Cancers 2021;13(23):6054.
  2. Adeoye J, Hui L, Tan JY, Koohi-Moghadam M, Choi SW, Thomson P. Prognostic value of non-smoking, non-alcohol drinking status in oral cavity cancer. Clin Oral Investig. 2021;25(12):6909-6918.
  3. Adeoye J, Tan JY, Ip CM, Choi SW, Thomson P. "Fact or fiction?": Oral cavity cancer in nonsmoking, nonalcohol drinking patients as a distinct entity-Scoping review. Head Neck. 2021;43(11):3662-3680.
  4. Adeoye J, Tan JY, Choi SW, Thomson P. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review. Int J Med Inform. 2021;154:104557.
  5. Adeoye J, Wan CCJ, Thomson P. Mock clinical testing in the validation of fluid-phase biomarkers for head and neck carcinoma diagnosis: Scoping review. Head Neck. 2021;43(2):691-704.

2020

  1. Adeoye J, Wan CCJ, Thomson P. An appraisal of pivotal evaluation designs in validating noninvasive biomarkers for head and neck cancer detection. Acta Oncol. 2020;59(12):1500-1502.
  2. Adeoye J, Thomson P, Choi SW. Prognostic significance of multi-positive invasive histopathology in oral cancer. J Oral Pathol Med. 2020;49(10):1004-1010.
  3. Adeoye J, Choi SW, Thomson P. Bayesian disease mapping and the 'High-Risk' oral cancer population in Hong Kong. J Oral Pathol Med. 2020;49(9):907-913.
  4. Adeoye J, Brennan PA, Thomson P. "Search less, verify more"-Reviewing salivary biomarkers in oral cancer detection. J Oral Pathol Med. 2020;49(8):711-719.

Preprints

  1. Braimah RO, Taiwo AO, Bello S, Bala M, Butali A, Ile-Ogedengbe BO, Bello AA, Fatusi OA, Aborisade AO, Adeoye J. Spatial Incidence of Noma in Northern Nigeria, 1999-2004: A model-based studymedRxiv 2025

Conference Presentations

  1. Adeoye J, Thomson P, Su Y-X. Artificial intelligence-based prediction of malignant transformation in oral leukoplakia and oral lichenoid mucositis. Abstract presentation at the 25th International Conference of Oral and Maxillofacial Surgery, June 2023.
  2. Adeoye J, Zheng L-W, Choi S-W, Thomson P, Su Y-X. Predicting oral cancer risk using machine learning. Oral presentation in the e-oral health division during the 2022 IADR/APR General Session & Exhibition. June 2022.
  3. Adeoye J, Zheng L-W, Choi S-W, Thomson P, Su Y-X. Salivary methylome analysis in oral cancer to unravel differentially methylated regions for non-invasive diagnosis. Poster presentation at the 35th Annual Scientific Meeting of the International Association for Dental Research Southeast Asian Division (IADR-SEA). December 2021.
  4. Adeoye J, Choi S-W, Thomson P. ‘New world vs Old world’ – Refining oral cancer risk prediction and screening to improve early disease detection. Poster presentation at the U-21 Doctoral Student Forum, Dublin, Ireland. August 2020.