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Professor Adeoye, John

BDS (Hons), PhD

Professor Adeoye, John - HKU Faculty of Dentistry 香港大學牙醫學院

Profile

Title
  • Assistant Professor in Digital / Precision Dentistry
    數碼及精密牙科助理教授
Division
Applied Oral Sciences & Community Dental Care
E-mail
jadeoye@hku.hk
Phone
+852 2859 0215
Biography
John Adeoye is an Assistant Professor in Digital and Precision Dentistry at the Faculty of Dentistry, University of Hong Kong (HKU), where he conducts research aimed at developing, validating, and implementing AI-based prediction systems for assistive decision-making in head and neck oncology. He completed his Bachelor of Dental Surgery (BDS) with Honours from the University of Lagos and earned his doctoral degree (Ph.D.) with a focus on AI in Dentistry from the University of Hong Kong (HKU). Adeoye’s research in head and neck oncology is driven by his love for “educated guesses” and the need to improve the risk assessment of patients with precancerous conditions and cancer using AI for better and precise prevention, early detection, and management. In this field, he has pioneered several AI-based platforms for decision support in oral cancer that significantly outperform current methods. Adeoye has over 40 peer-reviewed publications, and he currently serves as Academic and Review Editor for top peer-reviewed medical and dental journals.
Research Theme
Oral Cancer
Areas of Research Expertise
  • Artificial Intelligence in Healthcare
  • Oral Cancer
  • Cancrum Oris (noma)
  • Salivary Biomarkers
Research Profile
Publication & Awards
Publications

    Article

  • Akinshipo Abdul Warith, Sivaramakrishnan Gowri, Enwuchola Joy, Effiom Olajumoke, Adeoye John, Ramanathan Anand, Chaurasia Akhilanand. Unraveling the Mysteries of Ameloblastoma in African Population: A Comprehensive Analysis of 371 Cases from Clinical, Radiological, and Histopathological Perspectives, Head and Neck Pathology 2025; 19(1): article no. 2-article no. 2 doi:10.1007/s12105-024-01739-x
  • Li Jing Wen, Zhang Meng Jing, Zhou Ya Fang, Adeoye John, Pu Jing Ya Jane, Thomson Peter, McGrath Colman Patrick, Zhang Dian, Zheng Li Wu. Enhancing malignant transformation predictions in oral potentially malignant disorders: A novel machine learning framework using real-world data, iScience 2025; 28(3): article no. 112062-article no. 112062 doi:10.1016/j.isci.2025.112062
  • Ramamurthy Poornima, Adeoye John, Choi Siu Wai, Thomson Peter, Sharma Dileep. Identifying Rural Hotspots for Head and Neck Cancer Using the Bayesian Mapping Approach, Cancers 2025; 17(5): article no. 819-article no. 819 doi:10.3390/cancers17050819
  • Adeoye J., Su Y. X.. Response to the Letter to the Editor: “A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia”, Journal of Dental Research 2025; 104(6) doi:10.1177/00220345251329356
  • Braimah Ramat Oyebunmi, Adeoye John, Taiwo Abdurrazaq Olanrewaju, Bello Seidu, Bala Mujtaba, Butali Azeez, Ile-Ogedengbe Bruno Oludare, Bello Abubakar Abdullahi. Estimated incidence and clinical presentation of Noma in Northern Nigeria (1999–2024), PLoS Neglected Tropical Diseases 2025; 19(5) doi:10.1371/journal.pntd.0012818
  • Adeoye John, Su Yuxiong. Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions, Intelligent Medicine 2025; 5(2): 141-150 doi:10.1016/j.imed.2024.11.003
  • Veseli E., Adeoye J.. The future of oral cancer care through AI-powered clinics, British dental journal open 2025; 238(12): 908-909 doi:10.1038/s41415-025-8902-1
  • Li JingWen, Zhou YaFang, Zhang MengJing, Adeoye John, Pu Jane JingYa, Zhou MiMi, Liu ChuanXia, Fan LiJie, McGrath Colman, Zhang Dian, Zheng LiWu. Next-generation AI framework for comprehensive oral leukoplakia evaluation and management., npj Digital Medicine 2025; 8(1) doi:10.1038/s41746-025-01885-8
  • Adeoye J., Wang H., Lo A. W.I., Khoo U. S., Su Y. X.. Multidimensional Artificial Intelligence–Based Cancer Progression Prediction in Oral Leukoplakia, Journal of Dental Research 2025; doi:10.1177/00220345251378053
  • Adeoye John, Su Yu Xiong. Leveraging artificial intelligence for perioperative cancer risk assessment of oral potentially malignant disorders, International journal of surgery 2024; 110(3): 1677-1686 doi:10.1097/JS9.0000000000000979
  • Adeoye John, Su Yu Xiong. Validity of nomograms for predicting cancer risk in oral leukoplakia and oral lichen planus, Oral Diseases 2024; 30(5): 3039-3051 doi:10.1111/odi.14811
  • Adeoye J., Chaurasia A., Akinshipo A., Suleiman I. K., Zheng L. W., Lo A. W.I., Pu J. J., Bello S., Oginni F. O., Agho E. T., Braimah R. O., Su Y. X.. A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia, Journal of Dental Research 2024; 103(12): 1218-1226 doi:10.1177/00220345241272048
  • Adeoye John, Koohi-Moghadam Mohamad, Choi Siu Wai, Zheng Li Wu, Lo Anthony Wing Ip, Tsang Raymond King Yin, Chow Velda Ling Yu, Akinshipo Abdulwarith, Thomson Peter, Su Yu Xiong. Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning, Journal of Big Data 2023; 10(1) doi:10.1186/s40537-023-00714-7
  • Adeoye John, Su Yu‐Xiong. Artificial intelligence in salivary biomarker discovery and validation for oral diseases, Oral Diseases 2023; doi:10.1111/odi.14641
  • Adeoye J, Hui LL, Su YX. 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) doi:10.1186/s40537-023-00703-w
  • Adeoye J, Zheng LW, Thomson P, Choi SW, Su YX. Explainable ensemble learning model improves identification of candidates for oral cancer screening, Oral Oncology 2023; 136 doi:10.1016/j.oraloncology.2022.106278
  • Ramamurthy Poornima, Sharma Dileep, Adeoye John, Choi Siu Wai, Thomson Peter. Bayesian Disease Mapping to Identify High-Risk Population for Oral Cancer: A Retrospective Spatiotemporal Analysis, International Journal of Dentistry 2023; 2023: article no. 3243373-article no. 3243373 doi:10.1155/2023/3243373
  • Adeoye J, Chu CS, Choi SW, Thomson P. Oral Cancer Awareness and Individuals’ Inclination to Its Screening and Risk Prediction in Hong Kong, Journal of Cancer Education 2022; 37(2): 439-448 doi:10.1007/s13187-020-01834-x
  • Tan JY, Adeoye J, Thomson P, Sharma D, Ramamurthy P, Choi SW. Predicting Overall Survival Using Machine Learning Algorithms in Oral Cavity Squamous Cell Carcinoma, Anticancer Research 2022; 42(12): 5859-5866 doi:10.21873/anticanres.16094
  • Adeoye John, Wan Chi Ching Joan, Zheng Li Wu, Thomson Peter, Choi Siu Wai, Su Yu Xiong. Machine Learning-Based Genome-Wide Salivary DNA Methylation Analysis for Identification of Noninvasive Biomarkers in Oral Cancer Diagnosis, Cancers 2022; 14(19) doi:10.3390/cancers14194935
  • Adeoye John, Sakeen Alkandari Abdulrahman, Tan Jia Yan, Wang Weilan, Zhu Wang Yong, Thomson Peter, Zheng Li Wu, Choi Siu Wai, Su Yu Xiong. Performance of a simplified scoring system for risk stratification in oral cancer and oral potentially malignant disorders screening, Journal of Oral Pathology and Medicine 2022; 51(5): 464-473 doi:10.1111/jop.13293
  • Adeoye John, Akinshipo Abdulwarith, Thomson Peter, Su Yu Xiong. Artificial intelligence-based prediction for cancer-related outcomes in Africa: Status and potential refinements, Journal of Global Health 2022; 12: article no. 03017-article no. 03017 doi:10.7189/jogh.12.03017
  • Adeoye John, Thomson Peter. A call for an established oral cancer classification by etiology and revision of related terminology, Oral Diseases 2022; 28(3): 840-842 doi:10.1111/odi.13784
  • Adeoye John, Hui Liuling, Koohi-Moghadam Mohamad, Tan Jia Yan, Choi Siu Wai, Thomson Peter. Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis, International Journal of Medical Informatics 2022; 157: article no. 104635-article no. 104635 doi:10.1016/j.ijmedinf.2021.104635
  • Wang W, ADEOYE J, Thomson P, Choi SW. Statistical profiling of oral cancer and the prediction of outcome, Journal of Oral Pathology & Medicine 2021; 50(1): 39-46 doi:10.1111/jop.13110
  • 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, Clinical Oral Investigations 2021; 25(12): 6909-6918 doi:10.1007/s00784-021-03981-x
  • Wang W, ADEOYE JA, Thomson PJ, Choi SW. Multiple tumour recurrence in oral, head and neck cancer: Characterising the patient journey, Journal of Oral Pathology & Medicine 2021; doi:10.1111/jop.13182
  • ADEOYE JA, Alade A, ZHU W, 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 Diseases 2021; doi:10.1111/odi.13773
  • Adeoye John, Koohi-Moghadam Mohamad, Lo Anthony Wing Ip, Tsang Raymond King Yin, Chow Velda Ling Yu, Zheng Li Wu, Choi Siu Wai, Thomson Peter, Su Yu Xiong. Deep learning predicts the malignant-transformation-free survival of oral potentially malignant disorders, Cancers 2021; 13(23): article no. 6054-article no. 6054 doi:10.3390/cancers13236054
  • Oketade Ifeoluwa, Bello Seidu A., Adeoye John. The Tale of the Unrepaired Cleft—Retrospective Evaluation of Cases Encountered by an Indigenous Mission in a Northern Nigerian Community, Cleft Palate-Craniofacial Journal 2021; 58(7): 888-893 doi:10.1177/1055665620965437
  • Adeoye John, Wan Chi Ching Joan, Thomson Peter. Mock clinical testing in the validation of fluid-phase biomarkers for head and neck carcinoma diagnosis: Scoping review, Head and Neck 2021; 43(2): 691-704 doi:10.1002/hed.26526
  • Adeoye John, Tan Jia Yan, Ip Cheuk Man, Choi Siu Wai, Thomson Peter. “Fact or fiction?”: Oral cavity cancer in nonsmoking, nonalcohol drinking patients as a distinct entity—Scoping review, Head and Neck 2021; 43(11): 3662-3680 doi:10.1002/hed.26824
  • Adeoye John, Tan Jia Yan, Choi Siu Wai, Thomson Peter. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review, International Journal of Medical Informatics 2021; 154: article no. 104557-article no. 104557 doi:10.1016/j.ijmedinf.2021.104557
  • ADEOYE J, Brennan PA, Thomson PJ. ‘Search less, verify more’ – Reviewing salivary biomarkers in oral cancer detection, Journal of Oral Pathology & Medicine 2020; 49(8): 711-719 doi:10.1111/jop.13003
  • Adeoye J, Choi SW, Thomson P. Bayesian Disease Mapping and the ‘High‐Risk’ Oral Cancer Population in Hong Kong, Journal of Oral Pathology & Medicine 2020; 49(9): 907-913 doi:10.1111/jop.13045
  • ADEOYE J, Thomson P, Choi SW. Prognostic significance of multi‐positive invasive histopathology in oral cancer, Journal of Oral Pathology & Medicine 2020; Epub 2020-08-02 doi:10.1111/jop.13086
  • ADEOYE J, Thomson P. ‘The Double-Edged Sword’ – An hypothesis for Covid-19-induced salivary biomarkers, Medical Hypotheses 2020; 143: article no. 110124-article no. 110124 doi:10.1016/j.mehy.2020.110124
  • Chu CS, Lee NP, Adeoye J, Thomson P, Choi SW. Machine Learning and Treatment Outcome Prediction for Oral Cancer, Journal of Oral Pathology & Medicine 2020; 49(10): 977-985 doi:10.1111/jop.13089
  • ADEOYE JA, Wan CCJ, Thomson P. An appraisal of pivotal evaluation designs in validating noninvasive biomarkers for head and neck cancer detection, Acta Oncologica 2020; Epub 2020-09-12: 1-3 doi:10.1080/0284186X.2020.1820077
  • Bello Seidu Adebayo, Adeoye John, Ighile Nosa. Short-term survival of molar to molar transplantation in adolescents, Annals of African Surgery 2020; 17(1): 11-15 doi:10.4314/aas.v17i1.4
  • Bello Seidu A., Adeoye John A., Oketade Ifeoluwa, Akadiri Oladimeji A.. Estimated incidence and Prevalence of noma in north central Nigeria, 2010–2018: A retrospective study, PLoS Neglected Tropical Diseases 2019; 13(7): article no. e0007574-article no. e0007574 doi:10.1371/journal.pntd.0007574
  • Bello Seidu, Olatunbosun Wisdom, Adeoye John, Adebayo Abiodun, Ikimi Nathan. Prevalence and presentation of hyperdontia in a non-syndromic, mixed Nigerian population, Journal of Clinical and Experimental Dentistry 2019; 11(10): e930-e936 doi:10.4317/jced.55767

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    PG Thesis

  • Adeoye John Ademola New world vs old world : refining oral cancer screening, diagnosis, and prediction[PG Thesis]. Pokfulam, Hong Kong: The University of Hong Kong; 2023.
Honours & Awards
  • 2025. Pu J, Su Y, Adeoye JA, Zheng L. Faculty Knowledge Exchange (KE) Award of the Faculty of Dentistry 2025.
Knowledge Exchange
  • 08 September 2025: Adeoye John Ademola, McGrath Colman, Su Yuxiong. 2025/26 KE Impact Project Funding: KE-IP-2025/26-12: From Maps to Field: Empowering a non-governmental organization to perform targeted prevention and early detection of noma in Northern Nigeria ($150,000).
  • 09 July 2025: Su Yuxiong, Adeoye John Ademola, Pu Jingya, Zheng Liwu. Faculty Knowledge Exchange Award 2025 (Faculty of Dentistry) for 'Artificial Intelligence-based Web Tools to Improve Oral Cancer Screening and Clinical Decision-making'.
Grants
  • Project Title: OCCRiskNet: A Novel Artificial Intelligence-Based System for Predicting Malignant Transformation in Oral Leukoplakia and Oral Lichenoid Mucositis using Multi-Input Whole-Slide Images
    Grant Type: General Research Fund (GRF) 2023/24
    Funding Year: 2023
    Amount: HK$1,397,000
    Principal Investigator: Professor Su, Yuxiong
    Co-investigator(s): Professor Adeoye John Ademola, Professor Khoo Ui Soon
Invited Lectures & Keynote Speeches
  • 19 July 2025: AI in predicting OPMD Transformation. 10th World Congress of the International Academy of Oral Oncology (19/07/2025-19/07/2025, Liverpool, UK).
HKU Committee Appointments
  • 01 March 2025-Present: Faculty of Dentistry, Board of the. The teachers who are members of the Faculty and who are full-time employees of the University

Note

  • All publication and awards data are automatically fetched periodically from the HKU Scholars Hub.