Current status and future prospects of stomatology research

J Zhejiang Univ Sci B. 2023 Aug 7;24(10):853-867. doi: 10.1631/jzus.B2200702.
[Article in English, Chinese]

Abstract

Research in stomatology (dental medicine) continues to expand globally and is oriented towards solving clinical issues, focusing on clarifying the clinical relevance and potential mechanisms of oral‍-‍systemic connections via clinical epidemiology, oral microecological characterization, and the establishment of animal models. Interdisciplinary integration of materials science and tissue engineering with stomatology is expected to lead to the creation of innovative materials and technologies to better resolve the most prevalent and challenging clinical issues such as peri-implantitis, soft and hard tissue defects, and dentin hypersensitivity. With the rapid development of artificial intelligence (AI), 5th generation mobile communication technology (5G), and big data applications, "intelligent stomatology" is emerging to build models for better clinical diagnosis and management, accelerate the reform of education, and support the growth and advancement of scientific research. Here, we summarized the current research status, and listed the future prospects and limitations of these three aspects, aiming to provide a basis for more accurate etiological exploration, novel treatment methods, and abundant big data analysis in stomatology to promote the translation of research achievements into practical applications for both clinicians and the public.

随着口腔医学研究在全球范围内不断扩展,口腔医学现以解决临床问题为导向,重点通过临床流行病学、口腔微生态表征和动物模型的建立来阐明口腔与系统性疾病的临床相关性和潜在机制。材料科学及组织工程与口腔医学的跨学科整合有望通过推动创新材料发展和技术研发,更好地解决如种植体周围炎、软硬组织缺损和牙本质过敏等目前最普遍、最具挑战性的临床问题。随着人工智能、5G和大数据等应用技术的快速发展,“智能口腔”正在兴起,以便搭建更好的临床诊断和管理模式,加快教育改革,推动科研发展。基于此,本文综述了口腔医学目前的研究现状,并列举了上述3个方面未来的发展前景和局限性,旨在为口腔医学更准确的病因探索、新颖的治疗方法建立和丰富的大数据分析提供依据,从而促进研究成果向服务于临床医生和民众的实际应用转化。.

随着口腔医学研究在全球范围内不断扩展,口腔医学现以解决临床问题为导向,重点通过临床流行病学、口腔微生态表征和动物模型的建立来阐明口腔与系统性疾病的临床相关性和潜在机制。材料科学及组织工程与口腔医学的跨学科整合有望通过推动创新材料发展和技术研发,更好地解决如种植体周围炎、软硬组织缺损和牙本质过敏等目前最普遍、最具挑战性的临床问题。随着人工智能、5G和大数据等应用技术的快速发展,“智能口腔”正在兴起,以便搭建更好的临床诊断和管理模式,加快教育改革,推动科研发展。基于此,本文综述了口腔医学目前的研究现状,并列举了上述3个方面未来的发展前景和局限性,旨在为口腔医学更准确的病因探索、新颖的治疗方法建立和丰富的大数据分析提供依据,从而促进研究成果向服务于临床医生和民众的实际应用转化。

Keywords: Dental medicine; Innovative technique; Material; Stomatology; Systemic disease.

MeSH terms

  • Animals
  • Artificial Intelligence
  • Oral Medicine*