Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/148293
Title: Artificial intelligence in oral surgical planning
Other Titles: Dental clinical procedures using artificial intelligence
Authors: Pinhata-Baptista, Otavio Henrique
da Costa, Mauricio Pesce Gomes
Costa, Alan Jony de Moura
Burgoa, Shaban
Gutierrez, Virgilio
Kopp, Gino
Kopp, Fernanda
Peñarrocha-Oltra, David
Alonso Perez-Barquero, Jorge
Peñarrocha-Diago, Miguel
Bartolo, Adam
Cortes, Arthur R. G.
Keywords: Artificial intelligence -- Medical applications
Dentistry -- Data processing
Dental implants
Computer-assisted surgery
Mouth -- Surgery
Issue Date: 2026
Publisher: Springer Nature
Citation: Pinhata-Baptista, O. H., da Costa, M. P. G., Costa, A. J. D. M. E., Burgoa, S., Gutierrez, V., Kopp, G.,...Cortes, A. R. G. (2026). Artificial Intelligence in Oral Surgical Planning. In A.R.G. Cortes (Ed.), Dental Clinical Procedures using Artificial Intelligence (pp. 233-256). Cham: Springer Nature Switzerland.
Abstract: As digital workflow becomes increasingly central to the fields of oral surgery and implant dentistry, AI tools have shown potential to automate complex processes, enhance diagnostic capabilities, and optimize treatment outcomes. The purpose of this chapter is to synthesize and analyze the current scientific literature on the application of AI across important domains of oral surgery. In this context, among the main important roles and features of AI tools are the automated segmentation of anatomical structures and data preparation. Apart from surgical removal of lesions (previously discussed in Chap. 3), these AI features have consistently presented a growing influence in oral implantology and even management of maxillofacial trauma, from presurgical planning to postoperative prognosis.
URI: https://www.um.edu.mt/library/oar/handle/123456789/148293
Appears in Collections:Dental clinical procedures using artificial intelligence

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