Novel Therapeutic and Diagnostic Strategies for Oral Diseases

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: 31 May 2025 | Viewed by 533

Special Issue Editors


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Guest Editor
Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, Via Luigi de Crecchio, 6, 80138 Naples, Italy
Interests: oral medicine; photodynamic therapy; oral pathology; OSCC
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, Via Luigi de Crecchio, 6, 80138 Naples, Italy
Interests: oral medicine; oral diagnosis; oral pathology; oral radiology; oral surgery;OSCC

Special Issue Information

Dear Colleagues,

In the realm of oral health, innovative approaches to diagnosis and treatment are continually emerging, reshaping the landscape of dental care. This Special Issue serves as a comprehensive exploration into the latest advancements, strategies, and technologies revolutionizing this field. Oral disorders encompass a wide range of conditions, ranging from common dental caries to more complex diseases like periodontitis and oral cancers. Recognizing the importance of early detection and effective intervention, this Special Issue delves into cutting-edge diagnostic tools and methodologies, offering insights into improved accuracy, efficiency, and patient outcomes.

This Special Issue aims to investigate all the new frontiers of the diagnosis and therapy of oral disorders, ranging from tooth decay through oral potentially malignant disease (OPMD) to oral squamous cell carcinoma (OSCC).

This Special Issue aims to:

  • Early diagnosis of OSCC.
  • Early diagnosis of OPMD.
  • Early diagnosis of tooth decay.
  • Novel therapeutic strategies for tooth decay.
  • Novel therapeutic strategies for periodontitis.
  • Future perspectives on the oral disorder diagnostic pathway.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: photodynamic therapy; oral imaging; intraoral ultrasound; fractal analysis; liquid biopsy; the oral microbiome; DIAGNOdent; autofluorescence; optical coherence tomography; and reflectance confocal microscopy.

We look forward to receiving your contributions.

Dr. Fausto Fiori
Dr. Antonio Romano
Guest Editors

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Keywords

  • photodynamic therapy
  • intraoral ultrasound
  • fractal analysis
  • liquid biopsy
  • the oral microbiome
  • optical coherence tomography
  • reflectance confocal microscopy

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Published Papers (1 paper)

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Research

18 pages, 5347 KiB  
Article
An Image Analysis for the Development of a Skin Change-Based AI Screening Model as an Alternative to the Bite Pressure Test
by Yoshihiro Takeda, Kanetaka Yamaguchi, Naoto Takahashi, Yasuhiro Nakanishi and Morio Ochi
Healthcare 2025, 13(8), 936; https://doi.org/10.3390/healthcare13080936 - 18 Apr 2025
Viewed by 205
Abstract
Background/Objectives: Oral function assessments in hospitals and nursing facilities are mainly performed by nurses and caregivers but are sometimes not properly assessed. As a result, elderly people are not provided with meals appropriate for their masticatory function, increasing the risk of aspiration and [...] Read more.
Background/Objectives: Oral function assessments in hospitals and nursing facilities are mainly performed by nurses and caregivers but are sometimes not properly assessed. As a result, elderly people are not provided with meals appropriate for their masticatory function, increasing the risk of aspiration and other complications. In the present study, we aimed to examine image analysis conditions in order to create an AI model that can easily and objectively screen masticatory function based on occlusal pressure. Methods: Sampling was conducted at the Hokkaido University of Health Sciences (Hokkaido, Japan) and the university’s affiliated dental clinic in Hokkaido. Results: We collected 241 waveform images of changes in skin shape during chewing over a 20 s test period from 110 participants. Our study used two approaches for image analysis: convolutional neural networks (CNNs) and transfer learning. In the transfer learning analysis, MobileNetV2 and Xception achieved the highest classification accuracy (validation accuracy: 0.673). Conclusions: Therefore, it was determined that analyses of waveform images of changes in skin shape may contribute to the development of a skin change-based screening model as an alternative to the bite pressure test. Full article
(This article belongs to the Special Issue Novel Therapeutic and Diagnostic Strategies for Oral Diseases)
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