University of Hong Kong (HKU)

AI for Head and Neck Oncology Lab

Journal Publications

2026

  1. Adeoye J, Su YX. COCOH: A Multimodal Deep Learning Framework for Cancer Risk Assessment of Oral Potentially Malignant Disorders medRxiv

2025

  1. Adeoye J, Su YX. Artificial intelligence for predicting post-excision recurrence and malignant progression in oral potentially malignant disorders: a retrospective cohort study. Int J Surg. 2026 Jan 1;112(1):1392-1401.
  2. Adeoye J, Bello SA, Akinshipo A, Oginni FO, Adeyemi BF, Braimah RO, Suleiman IK, Bala M, Olasoji HO, Bakare T, Ajisebutu T, Mejabi MO, Odai ED, Agho ET, Oketade I, Orji VI, Bello FJ, Ikimi NU, Enebong DJ, Su YX. Development and validation of a multivariable model to identify candidates for oral cancer screening in Nigeria Int J Surg. 2026 Jan 1;112(1):1392-1401.
  3. Adeoye J, Wang H, Lo AWI, Khoo US, Su YX. Multidimensional Artificial Intelligence-Based Cancer Progression Prediction in Oral Leukoplakia. J Dent Res. 2025 Oct 18.
  4. 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.
  5. 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.

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.