Computerizing the Dental Office

Bertaud-Gounot, V.; Chaumeil, B.; Ehrmann, Elodie; Fages, Michel; Valcárcel, J.

doi:10.1007/978-2-8178-0478-1_15

Cited by 1 publication

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(8) In addition, computer systems that implement neural networks can process dental images to detect and diagnose pathological conditions, providing a graphical user interface for visualization and correlation with dental medical records. (9) These informatics tools offer valuable support for dental diagnosis, treatment planning, and patient education, and improve the overall quality of dental care. (6,8,10) The proliferation of computer tools for diagnosis in dentistry presents opportunities, but also generates a series of questions and difficulties for dentists.…”

Section: Introductionmentioning

confidence: 99%

Informatic tools for diagnosis in dentistry. A compilation review

Chaple Gil,

Damas Heredia,

Afrashtehfar

2024

Preprint

View full text Add to dashboard Cite

The objective of this article was to compile the computer tools available in the scientific literature aimed at diagnosis in dentistry. An scoping review research was conducted in Pubmed, Scopus and Web of Science. Were include, original researches type articles, Articles that reported the usefulness of a computer/technological tool that helps diagnosis in dental practice, Articles published in the last 20 years (period 2004- 2024) and written in English and Spanish. Online tool Rayyan was used to establish homogeneity in the review of the authors on a single online platform where they had access and could centralize the results. Variables were extracted from each article included in the study. A total of 12648 records were recuperated from data bases. After decantation process were included 39 reports that described 36 computer tools for diagnosis in dentistry. More informatic tools related to "Restorative Dentistry" have been developed than the rest of the specialties 14 (40%), Python was the predominant programming language, 83.3% of the tools were validated and 27.8% were free. Informatics tools in dentistry enhance diagnosis and treatment planning. However, a robust regulatory framework is needed for their validation before clinical implementation. Continuous training of dental professionals in these technologies is crucial to maximize their benefits and ensure optimal patient care. The need for more research to explore the potential of informatics applications in dentistry, their integration into existing health systems, and their accessibility in resource-limited areas is emphasized.

show abstract