Medicina dentária de precisão
: presente e futuro

  • Daniel Barbosa da Silva Siqueira (Student)

Student thesis: Master's Thesis


Introduction: Although conventional treatments in dentistry continue to show great results in some patients, they do not allow the same effectiveness and predictability in all individuals. Faced with this problem, there was a need to find new strategies to diagnose, treat and prevent diseases. Thus, the concept of Precision Medicine emerged, which later spread to different areas of health, including Dentistry. Objective: The objective of this scoping review was to identify, in the literature, the areas of dentistry that currently use technology capable of allowing precision dentistry. Materials and Methods: To answer the proposed objective, the guiding question was constructed: “Which areas in Dentistry currently use technology capable of allowing precision Dentistry?”. The search for relevant articles was carried out in the MEDLINE database (PubMed), with publication restrictions. To answer the question under study, research strings were constructed that associate the areas of Dentistry with both the Omic Sciences and Artificial Intelligence, which proved to be essential areas for the realization of a true Precision Dentistry. Results: The articles obtained were analyzed and the PRISMA recommendations were followed, resulting in a total of 26 articles selected for this study. Of the total number of articles, 10 were directly directed to the area of Periodontology, 4 to the area of Orthodontics and in the remaining areas 1 article was selected for each one, with the exception of Endodontics and Dentistry. The remaining 10 articles included different areas simultaneously. Conclusion: Through this scoping review, it is possible to infer that the investigation of new technologies has been growing exponentially in recent years. However, there is still a long way to go. Although several researches have already been carried out and different technological systems have already been tested, still few refer to their use in clinical practice, thus verifying the need for more experimental tests in a clinical environment for future confirmation of these advances. Recently, the relationship between molecular data and oral diseases has been studied, and proteins such as Cystatin and Staterin may be key factors in the prediction of dental caries. Finally, there are some understandable concerns regarding the implementation of Precision Dentistry, such as data protection and security. Furthermore, one of the biggest challenges to the implementation of Precision Dentistry is associated with the change in the current paradigm and the opening of dentists themselves regarding these new approaches..
Date of Award21 Jul 2022
Original languagePortuguese
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorNuno Rosa (Supervisor) & Rita Bornes (Co-Supervisor)


  • Precision dentistry
  • Artificial intelligence
  • Omics
  • Periodontics
  • Operative dentistry
  • Endodontics
  • Pediatric dentistry
  • Orthodontics
  • Oral rehabilitation


  • Mestrado em Medicina Dentária

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