Predicting restoration failures in primary and permanent teeth – A machine learning approach
Machine-learning models that predict the risk of posterior restoration failure-using routinely collected patient, tooth, and diagnostic data-may help dentists tailor recall intervals, prioritize preventive or reparative care, and allocate chair time more efficiently.
Authors
- Fausto Medeiros Mendes (ORCID: https://orcid.org/0000-0003-1711-4103)
- Eduardo Trota Chaves (ORCID: https://orcid.org/0000-0002-5313-4980)
- Helena Silveira Schuch (ORCID: https://orcid.org/0000-0001-9932-9698)
- M.C.D.N.J.M. Huysmans (ORCID: https://orcid.org/0000-0002-3036-7554)
- Daniela Prócida Raggio (ORCID: https://orcid.org/0000-0002-0048-2068)
- Mariana Minatel Braga (ORCID: https://orcid.org/0000-0002-4469-6500)
- Cácia Signori (ORCID: https://orcid.org/0000-0003-0297-3773)
- Vitor Henrique Digmayer Romero (ORCID: https://orcid.org/0000-0003-4016-9284)
- Falk Schwendicke (ORCID: https://orcid.org/0000-0003-1223-1669)
- X. Chen
- Maximiliano Sérgio Cenci (ORCID: https://orcid.org/0000-0002-2543-6201)
- Shankeeth Vinayahalingam (ORCID: https://orcid.org/0000-0002-2679-3841)
- Yunpeng Li (ORCID: https://orcid.org/0000-0002-5471-6827)
- Raíza Dias Freitas (ORCID: https://orcid.org/0000-0002-3205-8253)
Institutions
- Universidade Federal da Bahia (BR)
- Radboud University Nijmegen (NL)
- Universidade Federal de Pelotas (BR)
- Universidade de São Paulo (BR)
- King's College London (GB)
- Radboud University Medical Center (NL)
- LMU Klinikum (DE)
- Radboud Institute for Molecular Life Sciences (NL)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Dental Materials
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1016/j.dental.2025.09.009
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Radboud Universiteit
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Radboud Universitair Medisch Centrum