- 1Department of Dentistry, Universidade de Taubaté, Taubaté, Brazil
- 2Department of Dentistry, Universidade de Brasília, Brasilia, Brazil
Editorial on the Research Topic
Technological innovations for improved prevention and diagnosis of oral disease
Technological innovations are modulating and improving the field of dentistry, significantly enhancing the prevention, diagnosis, and treatment of oral diseases. From digital imaging tools to the integration of artificial intelligence, these advancements are enabling earlier and more accurate diagnoses, paving the way for less invasive and more effective treatments. Innovations in photonic applications, such as advanced light-based technologies, are driving the development of better diagnostic techniques and therapeutic appliances. The advent of scanning and 3D printing technologies is simplifying patient care, reducing costs, increasing precision, and enabling highly personalized treatment plans. Additionally, the rise of tele-dentistry, powered by internet and communication advancements, is extending dental care access to remote and underserved communities, democratizing access to oral healthcare. Smart devices, including apps and electronic toothbrushes, for example, are further enhancing daily dental care, empowering patients to maintain better oral health.
Building on the transformative impact of these technological advancements, the rapid and expansive growth of the global technology market is further accelerating progress in diagnostic and treatment methods across both medicine and dentistry. The importance of researchers being aware of new modalities for patient healthcare will facilitate the prospect for the development of new projects and studies that will directly benefit patients. A key factor in this ongoing evolution is the necessity of multidisciplinary collaboration. In today's research environment, the integration of diverse expertise—from clinical health professionals such as medical doctors, dentists, physiotherapists, and nurses, to specialists in biomedical engineering, systems and data analysis, and computer science—has become essential. This collaborative approach not only enriches the research process but also ensures that data analysis and technological integration are optimized, leading to more effective and comprehensive healthcare solutions.
The aforementioned point aligns with the studies developed in our research group, which is focused on integrating a cutting-edge real-time diagnostic technique utilizing body biofluids, such as saliva, urine or blood (1–3). This diagnostic technique is based on the use of infrared absorption spectroscopy with an attenuated total reflection accessory to detect possible biomarkers for several diseases, such as cancer, diabetes, among others. For that, we need to involve several professionals, and our multidisciplinary team exemplifies the power of collaboration, bringing together dentists with deep expertise in relevant pathologies, such as oral cancer, to guide the clinical application of this technology. Biomedical engineers and physicists contribute their specialized knowledge of the spectroscopic technique, ensuring its optimal function and continuous refinement. Meanwhile, professionals skilled in metadata analysis and programming are essential in developing and optimizing software that facilitates the real-time use of this diagnostic tool in clinical settings.
Form the dental perspective, studies involving salivary analysis have proven to be interesting from a clinical and scientific point of view, due to being easy to obtain and having a minimally (or not at all) invasive collection method. The evaluation of oral diseases such as cancer, caries, and periodontal disease can benefit from modern methods of early detection using saliva, as discussed in the edition. Further, assessment of the oral microbiome has allowed us to understand new nuances of these diseases and may, in the near future, guide more personalized treatment and control strategies.
Beyond enabling faster and more accurate diagnoses, as well as less invasive and longer-lasting treatments, technological advancements are also allowing the development of educational tools, greatly enhancing the accessibility and quality of information available, for students, clinicians and patients. Interactive platforms, virtual simulations, and online courses have made it possible for dental professionals to continuously update their skills and knowledge, while patients are empowered with reliable information to make informed decisions about their oral health. With the advancement of artificial intelligence, the challenge now will be to improve users’ critical skills.
Author contributions
LFCSC: Conceptualization, Writing – original draft. RFZ: Conceptualization, Writing – original draft.
Funding
The authors declare financial support was received for the research, authorship, and/or publication of this article. LFCSC is funded by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP – 2017/21827-1) and by Conselho Nacional de Pesquisa e Desenvolvimento (CNPq - 406761/2022-1). RFZ is funded by National Council for Scientific and Technological Development (CNPq) and Fundação de Amparo a Pesquisa do Distrito Federal (FAPDF).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Leal LB, Nogueira MS, Canevari RA, Carvalho LFCS. Vibrational spectroscopy and body biofluids: literature review for clinical applications. Photodiagnosis Photodyn Ther. (2018) 24:237–44. doi: 10.1016/j.pdpdt.2018.09.008
2. Nogueira MS, Leal LB, Marcarini WD, Pimentel RL, Muller M, Vassallo PF, et al. Rapid diagnosis of COVID-19 using FT-IR ATR spectroscopy and machine learning. Sci Rep. (2021) 11:15409. doi: 10.1038/s41598-021-93511-2
Keywords: technology, dentistry, diagnosis, education, disease
Citation: Carvalho LFCS and Zanatta RF (2024) Editorial: Technological innovations for improved prevention and diagnosis of oral disease. Front. Oral. Health 5:1481890. doi: 10.3389/froh.2024.1481890
Received: 16 August 2024; Accepted: 30 August 2024;
Published: 16 September 2024.
Edited by:
Chun Hung Chu, The University of Hong Kong, Hong Kong SAR, ChinaReviewed by:
Bella Weijia Luo, The University of Hong Kong, Hong Kong SAR, ChinaCopyright: © 2024 Carvalho and Zanatta. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Luis Felipe das Chagas e Silva de Carvalho, bHVpc2ZlbGlwZWNhcnZhbGhvQGhvdG1haWwuY29t; Rayssa Ferreira Zanatta, emFuYXR0YS5yYXlzc2FAZ21haWwuY29t