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.

The authors have declared no competing interest.

This study did not receive any funding.

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.

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I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

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I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.

Yes

The database of the articles included in the study with all the details collected according to the variables is located in the Mendeley Data repository (https://doi.org/10.17632/yx9jts8mv7.1), advocating for the reproducibility, sharing and systematicity of data according to the principles of Open Science.

https://doi.org/10.17632/yx9jts8mv7.1