Oral Health Month 2024 - AI and Oral Health

Tuesday, April 2, 2024
Word cloud generated generated with SciVal from 2252 publications about AI and Oral Health

April is Oral Health Month in Canada! As AI can be used to promote oral health, whether in analyzing images, designing dentures, optimizing patient care or helping dental students' study, research into AI and the oral health applications of AI are wide-ranging and being explored by researchers in dental and other healthcare fields. 

To celebrate Oral Health Month 2024, we have compiled the following list of resources. They provide some insights into the current state of AI in oral health, though this list is by no means exhaustive. The landscape of AI applications in oral health is continually evolving, with new developments emerging at a remarkable pace. We hope the resources we list here can serve as an inspiration for our users to explore the exciting possibilities that AI offers in oral health. Be sure to keep an eye out for exciting new developments in this field in the future!

Sources: https://www.dental-tribune.com/news/the-transformative-power-of-ai-in-dentistry/; https://www.eurekalert.org/news-releases/1038260  

Select News

  1. IADR, AADOCR. ChatGPT to help dental students retain knowledge and enhance performance. EurekAlert. 2024 Mar 19. 
  2. Stanley K. Artificial intelligence: A gift to dentists. Dental Tribune International. 2023 Apr 11.  
  3. Kukucka, ED. The transformative power of AI in dentistry. Dental Tribune International. 2024 Feb 27. 
  4. What does Europe’s new AI act mean for healthcare? Dental Tribune International. 2024 Mar 27 
  5. Booth, J. Doubled-edged sword: AI must foster, not worsen, sustainability in dental care. Dental Tribune International. 2024 Mar 29.
  6. AI dentistry—international magazine of artificial intelligence in dentistry. Dental Tribune International.

Workshops/Reports

  1. Emami E, Rahimi SA, Nyariro M. Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of Artificial Intelligence for Better Health and Oral Health Care: A Workshop Summary. J Can Dent Assoc 2023;89(10). 
  2. McAlpine KJ. AI May Be Just What the Dentist Ordered. Harvard News & Research. 2023 Nov 30.
  3. SCDI White Paper No. 1106: Dentistry — Overview of Artificial and Augmented Intelligence Uses in Dentistry. ADA. 2022 Dec 30.

Books

  1. Shaikh K, Bekal SV, Ahmed Marei HF, Moustafa Elsayed WS, Surdilovic D, Jawad LA. Artificial Intelligence in Dentistry: Springer International Publishing; 2022. 1-198 p.
  2. Asanza DM. Geriatric dentistry in the age of digital technology: IGI Global; 2023. 1-347 p. 
  3. Lee, Jae-Hong. Artificial Intelligence in Oral Health: MDPI Books; 2022. 1-190 p.

Metrics from Scopus

The information below was retrieved from Scopus on April 4th, 2024 with the following search strategy and limited to publications from 2022-2024. 

( TITLE-ABS-KEY ( {AI} OR "artificial intelligence" OR "machine learning") AND TITLE-ABS-KEY ( dental OR dentistry OR dentist* OR "oral health" OR "oral disease*" OR endodontics OR prosthodontics OR malocclusion OR "oral radiology" OR "oral Surgery" OR "oral Hygiene" OR "oral pathology" OR periodont* OR stomatology OR tooth OR teeth OR mouth OR craniofacial OR maxillofacial OR temporomandibular OR "cleft lip" OR "cleft palate" OR "head anatomy" OR "jaws surgery") ) 

We are very happy to see that within Canada, UofT has the greatest number of publications. Congratulations to our researchers for their contributions to this emerging field!

Title: Top Institutions in CanadaList of top institutions in Canada by scholarly output in AI & oral health (using above search strategy): UofT, UBC, Dalhousie, McGill, Western

Below are the top 5 countries with the most activities in this field: 

Title: Top 5 Countries/Regions by Scholarly OutputGraph of top 5 countries by scholarly output in oral health & AI (using above search strategy): United States, China, India, United Kingdom, Germany

Resources from Scopus:

Publications with Authors from the University of Toronto since 2022

  1. Arora R, Cao C, Kumar M, Sinha S, Chanda A, McNeil R, et al. Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response. Nat Commun. 2023;14(1).
  2. Awamleh Z, Chater-Diehl E, Choufani S, Wei E, Kianmahd RR, Yu A, et al. DNA methylation signature associated with Bohring-Opitz syndrome: a new tool for functional classification of variants in ASXL genes. Eur J Hum Genet. 2022;30(6):695-702.
  3. Awamleh Z, Choufani S, Cytrynbaum C, Alkuraya FS, Scherer S, Fernandes S, et al. ANKRD11 pathogenic variants and 16q24.3 microdeletions share an altered DNA methylation signature in patients with KBG syndrome. Hum Mol Genet. 2023;32(9):1429-38.
  4. Barbour A, Elebyary O, Fine N, Oveisi M, Glogauer M. Metabolites of the oral microbiome: Important mediators of multikingdom interactions. FEMS Microbiol Rev. 2022;46(1).
  5. Da Silva M, Horsley T, Singh D, Da Silva E, Ly V, Thomas B, et al. Legal concerns in health-related artificial intelligence: a scoping review protocol. Syst Rev. 2022;11(1).
  6. Guo L, Park J, Yi E, Marchi E, Hsieh TC, Kibalnyk Y, et al. KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients. Eur J Hum Genet. 2022;30(11):1244-54.
  7. Kamal M, Tokmakjian L, Knox J, Mastrangelo P, Ji J, Cai H, et al. A spatiotemporal reconstruction of the C. elegans pharyngeal cuticle reveals a structure rich in phase-separating proteins. eLife. 2022;11.
  8. Kirubarajan A, Young D, Khan S, Crasto N, Sobel M, Sussman D. Artificial Intelligence and Surgical Education: A Systematic Scoping Review of Interventions. J Surg Educ. 2022;79(2):500-15.
  9. Lotto M, Menezes TS, Hussain IZ, Tsao SF, Butt ZA, Morita PP, et al. Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study. J Med Internet Res. 2022;24(5).
  10. Moharrami M, Farmer J, Singhal S, Watson E, Glogauer M, Johnson AEW, et al. Detecting dental caries on oral photographs using artificial intelligence: A systematic review. Oral Dis. 2023.
  11. Peng J, Lu Y, Chen L, Qiu K, Chen F, Liu J, et al. The prognostic value of machine learning techniques versus cox regression model for head and neck cancer. Methods. 2022;205:123-32.
  12. Sabharwal A, Kavthekar N, Miecznikowski J, Glogauer M, Maddi A, Sarder P. Integrating Image Analysis and Dental Radiography for Periodontal and Peri-Implant Diagnosis. Front Dent Med. 2022;3.

Top Cited Articles

  1. Thurzo A, Strunga M, Urban R, Surovková J, Afrashtehfar KI. Impact of artificial intelligence on dental education: A review and guide for curriculum update. Education Sciences. 2023 Jan 31;13(2):150.  Cited: 78
  2. Cui Z, Fang Y, Mei L, Zhang B, Yu B, Liu J, Jiang C, Sun Y, Ma L, Huang J, Liu Y. A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images. Nature communications. 2022 Apr 19;13(1):2096. Cited: 78
  3. Podgorski J, Berg M. Global analysis and prediction of fluoride in groundwater. Nature communications. 2022;13(1). Cited: 71
  4. Mohammad-Rahimi H, Motamedian SR, Rohban MH, Krois J, Uribe SE, Mahmoudinia E, Rokhshad R, Nadimi M, Schwendicke F. Deep learning for caries detection: A systematic review. Journal of Dentistry. 2022 Jul 1;122:104115. Cited: 59
  5. Jubair F, Al-karadsheh O, Malamos D, Al Mahdi S, Saad Y, Hassona Y. A novel lightweight deep convolutional neural network for early detection of oral cancer. Oral Diseases. 2022;28(4):1123-30. Cited: 59

Select Book Chapters

  1. Abdul NS, Shenoy M, Mhaske S, Singaraju S, Shivakumar GC. Diagnosing and imaging in oral pathology by use of artificial intelligence and deep learning.  Deep Learning in Medical Image Processing and Analysis: Institution of Engineering and Technology; 2023. p. 1-19.
  2. Aksoy B, Yücel M, Sayin H, Salman MOK, Eylence M, Özmen MM. Explainable artificial intelligence applications in dentistry: A theoretical research.  Explainable Artificial Intelligence for Biomedical Applications: River Publishers; 2023. p. 189-212.
  3. Bagde H, Fatima N, Shrivastav R, Johnson L, Mishra S. Oral implantology with artificial intelligence and applications of image analysis by deep learning.  Deep Learning in Medical Image Processing and Analysis: Institution of Engineering and Technology; 2023. p. 21-35.
  4. Bansal K, Batla RK, Kumar Y, Shafi J. Artificial Intelligence Techniques in Health Informatics for Oral Cancer Detection.  Studies in Computational Intelligence. 1021: Springer Science and Business Media Deutschland GmbH; 2022. p. 255-79.
  5. Da Silva RLB, Kim JH, Markarian RA, Falacho R, Cortes DN, Costa AJM, et al. Introduction to digital dentistry.  Digital Dentistry: A Step-by-Step Guide and Case Atlas: John Wiley and Sons Ltd; 2022. p. 3-17.
  6. Do Nascimento Gerhardt M, Shujaat S, Jacobs R. AIM in Dentistry.  Artificial Intelligence in Medicine: Springer International Publishing; 2022. p. 905-18.
  7. Gandedkar NH, Wong M, Prasad S, Ali Darendeliler M. Augmented/Virtual Reality and Artificial Intelligence in Dental Education and Research.  Springer Series on Cultural Computing: Springer Science and Business Media Deutschland GmbH; 2023. p. 147-69.
  8. Hussein N. Artificial intelligence in dentistry: Current issues and perspectives.  Artificial Intelligence and Computational Dynamics for Biomedical Research. 8: De Gruyter; 2022. p. 229-48.
  9. Jasen S. Orthodontic Treatment and Periodontal Health in the Big Data Era.  Studies in Big Data. 135: Springer Science and Business Media Deutschland GmbH; 2023. p. 262-71.
  10. Jasen S. Artificial Intelligence Applicability in Orthodontics: Quo Vadis Orthodontics?  Studies in Big Data. 135: Springer Science and Business Media Deutschland GmbH; 2023. p. 284-90.
  11. Khodadadi M, Ye Y, Aarabi G, Pow EHN, Lam WYH, Tsoi JKH, et al. Artificial intelligence in dentistry and oral health.  Machine Learning, Medical AI and Robotics: Translating Theory into the Clinic: Institute of Physics Publishing; 2023. p. 4.1-4.17.
  12. Mladenovic R. AI-Powered and “Augmented” Dentistry: Applications, Implications and Limitations.  Springer Series on Cultural Computing: Springer Science and Business Media Deutschland GmbH; 2023. p. 211-26.
  13. Moran MBH, Faria MDB, Bastos LF, Giraldi GA, Conci A. Combining Image Processing and Artificial Intelligence for Dental Image Analysis: Trends, Challenges, and Applications.  EAI/Springer Innovations in Communication and Computing: Springer Science and Business Media Deutschland GmbH; 2022. p. 75-105.
  14. Rao GKL, Mokhtar N. Dental education in the information age: Teaching dentistry to generation Z learners using an autonomous smart learning environment.  Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines: IGI Global; 2023. p. 243-64. (Can request through inter-library loan)
  15. Scheyer ET, Ramos D, Karotkin J, Romero G, Cintra O, Rossi AM. Digital Smile Design (DSD) and Surgically Facilitated Orthodontic Therapy (SFOT).  Surgically Facilitated Orthodontic Therapy: An Interdisciplinary Approach: Springer International Publishing; 2023. p. 269-96.
  16. Singh A, Gupta R, Kumar A. CNN-based oral cancer and dental caries detection for computer-aided diagnosis.  Artificial Intelligence and Blockchain in Industry 40: CRC Press; 2023. p. 1-17. (Can request through inter-library loan)
  17. Singh A, Sahu A, Verma S. Computer Intelligence in Detection of Malignant or Premalignant Oral Lesions: The Story So Far. Studies in Computational Intelligence: Springer Science and Business Media Deutschland GmbH; 2022. p. 187-200.
  18. Sonavane A, Kohar R. Dental Cavity Detection Using YOLO.  Lecture Notes on Data Engineering and Communications Technologies. 91: Springer Science and Business Media Deutschland GmbH; 2022. p. 141-52.
  19. Tuzova L, Tuzoff D, Pulver LE. AI in Dentistry.  AI in Clinical Medicine: A Practical Guide for Healthcare Professionals: Wiley; 2023. p. 104-16. 

Select Conference Proceedings

  1. Alanya-Beltran J, Padilla-Caballero J, Shah SK, Srinivas O, Tomar PK, Mareeskannan V, editors. Dentistry in the Age of Automation: The Benefits and Challenges of AI and Robotics. 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  2. Ankit K, Kumar V, editors. Histopathological Image Based Oral Squamous Cell Carcinoma Classification Using Deep Network Fusion. 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  3. Archana N, Akshaya P, Vinoth M, Swathi Priya M, editors. Machine Learning Precision: Predicting Oral Cancer in Cell Carcinoma Biopsy Images through Deep Learning and Analytical Insights. 2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  4. Begum SH, Vidyullatha P, editors. A Review of Deep Learning Application in Oral Cancer Prognosis. 2022 IEEE Pune Section International Conference, PuneCon 2022; 2022: Institute of Electrical and Electronics Engineers Inc.
  5. Bouali R, Mahboub O, Lazaar M, editors. Review of Dental Diagnosis by Deep Learning Models: Trends, Applications and Challenges. Procedia Computer Science; 2024: Elsevier B.V.
  6. Chen H, Ge Y, Wei J, Xiong H, Liu Z, editors. Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2022: Springer Science and Business Media Deutschland GmbH.
  7. Chen R, Liao B, editors. Application of XR technology in stomatology education: Theoretical basis, application scenarios and future prospects. 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  8. Cui W, Wang Y, Li Y, Song D, Zuo X, Wang J, et al., editors. CTooth+: A Large-Scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2022: Springer Science and Business Media Deutschland GmbH.
  9. Das P, Dhana Sony J, Thimmaraju MK, Ahalya N, Anandaram H, Kumar A, editors. Design and Comparison of Transfer Learning for Dental Caries Detection. 2022 International Conference on Edge Computing and Applications, ICECAA 2022; 2022: Institute of Electrical and Electronics Engineers Inc.
  10. Dutta N, Debellis M, editors. Dental Restorative Material Ontology (DrMO). Frontiers in Artificial Intelligence and Applications; 2023: IOS Press BV.
  11. Ferro-Sánchez CA, Díaz-Laverde CO, Romero-Cano V, Campo O, González-Vargas AM, editors. Machine Learning for the Classification of Surgical Patients in Orthodontics. IFMBE Proceedings; 2024: Springer Science and Business Media Deutschland GmbH.
  12. Ghosh A, Saha AP, Saha S, Das A, editors. Promoting the Importance of Recall Visits Among Dental Patients in India Using a Semi-Autonomous AI System. Studies in Health Technology and Informatics; 2022: IOS Press BV; 35592965.
  13. Haddad DS, Brioschi ML, Luchetti MAB, Civiero N, Moreira MA, Arita ES, editors. Thermographic Toothache Screening by Artificial Intelligence. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2022: Springer Science and Business Media Deutschland GmbH.
  14. Hosseinimanesh G, Ghadiri F, Guibault F, Cheriet F, Keren J, editors. From Mesh Completion to AI Designed Crown. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2023: Springer Science and Business Media Deutschland GmbH.
  15. Jaidee E, Wongsapai M, Suthachai T, Theppitak S, Ittichaicharoen J, Warin K, et al., editors. Oral Tissue Detection in Photographic Images Using Deep Learning Technology. 27th International Computer Science and Engineering Conference, ICSEC 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  16. Ji Z, Song Z, Lu Z, Zeng J, editors. Application of AI Technology in Modern Dental Equipment. Lecture Notes on Data Engineering and Communications Technologies; 2022: Springer Science and Business Media Deutschland GmbH.
  17. Kahurke S, editor. Artificial Intelligence Algorithms and Techniques for Dentistry. 1st International Conference on Cognitive Computing and Engineering Education, ICCCEE 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  18. Kraft R, Ortega JA, Simón-Soro Á, Martínez N, González-Abril L, editors. Oral Health Phenotype of Postmenopausal Women Using AI. Lecture Notes in Electrical Engineering; 2024: Springer Science and Business Media Deutschland GmbH.
  19. Kumar C, Singh B, editors. A Comparative Study of Machine Learning Regression Approach on Dental Caries Detection. 4th International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2022; 2022: Elsevier B.V.
  20. Manikandan J, Devakadacham SR, Shanthalakshmi M, Arockia Raj Y, Vijay K, editors. An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine. 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  21. Mohammed MS, Zrigui S, Zrigui M, editors. Teeth Disease Recognition Based on X-ray Images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2023: Springer Science and Business Media Deutschland GmbH.
  22. Muqeet MA, Mohammad AB, Krishna PG, Begum SH, Qadeer S, Begum N, editors. Automated Oral Cancer Detection using Deep Learning-based Technique. 8th International Conference on Signal Processing and Communication, ICSC 2022; 2022: Institute of Electrical and Electronics Engineers Inc.
  23. Patel O, Kundu K, editors. Oral Cancer Detection and Diagnosis: A New Frontier in Artificial Intelligence. 4th International Conference on Artificial Intelligence and Speech Technology, AIST 2022; 2022: Institute of Electrical and Electronics Engineers Inc.
  24. Rajput D, Rane H, Nikam D, Wagh J, Jadhav A, editors. Detection and Classification of Dental Caries Using Deep and Transfer Learning. Lecture Notes in Networks and Systems; 2023: Springer Science and Business Media Deutschland GmbH.
  25. Ramya S, Minu RI, editors. The Role of AI in 'Oral Cancer' Detection: A Systematic Review and Future Perspective. 5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  26. Ramya S, Minu RI, Magesh KT, editors. An Automated Approach for Identification of Oral Squamous Cell Carcinoma based on 2D-ICNN. 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  27. Raut A, Samantaray S, Sahu RR, editors. Digital Technology and Artificial Intelligence in Dentistry: Recent Applications and Imminent Perspectives. Lecture Notes in Networks and Systems; 2022: Springer Science and Business Media Deutschland GmbH.
  28. Sahu RR, Raut A, Samantaray S, editors. Technological Empowerment: Applications of Machine Learning in Oral Healthcare. 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2022; 2022: Institute of Electrical and Electronics Engineers Inc.
  29. Sathishkumar R, Govindarajan M, editors. A Comprehensive Study on Artificial Intelligence Techniques for Oral Cancer Diagnosis: Challenges and Opportunities. 2023 International Conference on System, Computation, Automation and Networking, ICSCAN 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  30. Sharma G, Chadha R, editors. An Optimized Predictive Model Based on Deep Neural Network for Detection of Skin Cancer and Oral Cancer. 2nd International Conference for Innovation in Technology, INOCON 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  31. Shukla SM, Mishra G, Mishra R, editors. Open source image processing module to improve dental patient care in suburban and rural areas: Review Paper. 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  32. Sinha A, Ramish M, Kumari S, Jha P, Tiwari MK, editors. ANN-ANT-LION-MLP Ensemble Transfer Learning Based Classifier for Detection and Classification of Oral Disease Severity. 12th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2022; 2022: Institute of Electrical and Electronics Engineers Inc.
  33. Sultana M, Bhattacharya S, Maiti A, Pandey A, Sengupta D. A Deep CNN Framework for Oral Cancer Detection Using Histopathology Dataset. In: Dasgupta K, Mukhopadhyay S, Mandal JK, Dutta P, editors. 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023: Springer Science and Business Media Deutschland GmbH; 2024. p. 239-48.
  34. Sumathy V, Pretty Diana Cyril C, editors. Systematic Literature Review on Early Diagnosis of Oral Squamous Cell Carcinoma by Deep Learning Techniques. 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  35. Swathi Pai M, Arudra A, Dankan Gowda V, Vadar PS, Jadhav MR, Kaur M, editors. Predictive Modeling of Dental Health Outcomes Based on Fluoride Concentrations using AI. 3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023; 2023: Institute of Electrical and Electronics Engineers Inc.
  36. Theppitak S, Wongsapai M, Wudtijureepun K, Jaidee E, Ittichaicharoen J, Warin K, et al., editors. Automatic Oral View Classification in the Photographic Images. 27th International Computer Science and Engineering Conference, ICSEC 2023; 2023: Institute of Electrical and Electronics Engineers Inc. 
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