Prediction of Pulpal Sequelae in Cracked Teeth with Reversible Pulpitis using Machine Learning Models

Dr. Wu Siwen is a Senior Consultant and Head of the Endodontics Unit at the Department of Restorative Dentistry, National Dental Centre Singapore. She is an accredited Endodontist with Singapore Dental Council and a teaching faculty staff with National University of Singapore. Her clinical interests include management of cracked teeth and endodontic surgeries.

Tudor Dascalu holds a PhD in Artificial Intelligence applied to Dentistry from the University of Copenhagen. He is a data scientist specializing in predictive modelling of treatment outcomes with prior research at Singapore General Hospital applying machine-learning methods to clinical healthcare data. His contribution to this work focused on model development and statistical analysis.

Dr Rachel Seet obtained her Bachelor of Dental Surgery at the National University of Singapore in 2016 and was awarded the University Medal in the final professional BDS examination as well as the Southeast Asia Association for Dental Education (SEADDE) Medal for being the best student with distinction in Endodontics. She thereafter obtained her Master in Dental Surgery (Endodontics) at the National University of Singapore in 2022.

She has been accredited as a Specialist in Endodontics by the Singapore Dental Council since 2024. She is currently an Associate Consultant in the Endodontic Unit, Department of Restorative Dentistry, at the National Dental Centre Singapore and at the Oral and Maxillofacial Surgery Clinic at Changi General Hospital. She is actively involved in clinical research and has had several works on cracked teeth published in the Journal of Endodontics, with an Honourable Mention at the Journal of Endodontics Awards 2022.

Dr Chan Pei Yuan is a Senior Consultant with the Endodontics Unit at the National Dental Centre Singapore. Her research focuses on the diagnosis, management, and long-term outcomes of cracked teeth, with a particular interest in survival analysis and predictive factors for pulpal sequelae. She currently serves as the Associate Programme Director for the Master of Dental Surgery (Endodontics) programme at the National University of Singapore.

Dr Yu Na is a Senior Dental Surgeon at the National Dental Centre Singapore (NDCS) and Associate Professor at the DUKE-NUS Medical School. Trained as a dentist and prosthodontist, she subsequently obtained her PhD in Medical Science at Faculty of Dentistry from Radboud University Nijmegen. She is the first dentist in Singapore who obtained the Clinician-Scientist Award from the National Medical Research Council (NMRC). As director and theme lead of MedTech research for Oral Health Academic Clinical Programme, much of her research work is focused on innovative workflows for digital dentistry, including digital processing, 3D printing of dental appliances, novel biomaterials and regenerative dentistry.

Her career goal is to become a leading clinician-scientist to advance oral health science and improve dental care through research and innovation. As principal investigator, she is developing her clinical research niche in optimizing prosthodontic treatment outcomes through novel digital dentistry and 3D printing methodologies. With this niche she led the multi-disciplinary research team that developed the software application SMART RPD and demonstrated feasibility in use of metal printing technology for RPD framework in a clinical trial. She also maintains a basic research niche in cutting-edge tissue engineering strategies for restoration of oral tissues. With this niche she has established validated clinically relevant periodontitis animal models and validated multiple bioactive agents for dental tissue regeneration. Pursuing both basic science and applied clinical research have been uniquely advantageous: her prior work in basic science unlocks fundamental limitations associated with digital imaging of oral cavity tissues, and her clinical studies incorporates the patient perspective in prioritization of scientific hypotheses, with a view towards adoption.

Jeffry Hartanto, Ph.D., is a computer scientist specialising in the application of artificial intelligence, computer vision, and computational geometry to healthcare. His work spans a range of clinical domains, including orthopaedics, dentistry, and vascular care. He is particularly interested in developing subject-specific, data-driven models that support non-invasive surgical planning, personalised treatment, and predictive care.

Dr. Bulat Ibragimov is an Associate Professor at the University of Copenhagen, where he leads research on artificial intelligence and medical image analysis for computer-aided diagnosis and treatment planning. Before joining Copenhagen, he worked at Stanford University and Johnson and Johnson. He has authored more than 60 peer-reviewed journal publications, including work on AI-based caries treatment planning and pulp exposure prediction. His research focuses on developing machine learning tools that help clinicians improve diagnostic accuracy and treatment outcomes.