Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta-Analysis.

Objective: Oral diseases, specifically malignant lesions, are serious global health concerns requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has emerged as a powerful tool for the automated detection and classification of oral lesions. This research, by conducting a scoping review and meta-analysis, aims to provide an overview of the progress and achievements in the field of automated detection of oral lesions using DL.

Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning.

Oral squamous cell carcinoma recognition presents a challenge due to late diagnosis and costly data acquisition. A cost-efficient, computerized screening system is crucial for early disease detection, minimizing the need for expert intervention and expensive analysis. Besides, transparency is essential to align these systems with critical sector applications.

Reduction of MRONJ risk after exodontia by virtue of ozone infiltration: A randomized clinical trial.

Introduction: Exodontia is commonly considered as a risk factor for the development of medication-related osteonecrosis of the jaw (MRONJ) in individuals exposed to bone modifying agents. This study was aimed at assessing the efficiency and safety of a gaseous oxygen-ozone mixture as an adjuvant to a standard exodontia to reduce the risk of MRONJ development.

Methods: A randomized, open-label, phase II, single-center clinical trial involving 117 patients at risk of MRONJ was conducted.

Improving the cancer adult patient support network (iCAN): a pilot study on a communication model and modified focus group.

Background: Many consider that cancer has the greatest impact of any disease in the world, and it can drastically limit patients' quality of life. Combating such a life-threatening disease can pose many challenges to daily life, highlighted by demonstrating the need to discuss one's health status within a focus group and encourage treatment compliance.

Aim: the purposes of this study were to share the authors' experience of a modified focus group in an Oral Medicine Unit, termed "Improving Cancer Adult Patients Support Network" (iCAN), and to evaluate how effective communication could improve patients' quality of life and empower them by virtue of enhanced knowledge and an awareness of cancer management.

Doctoral: A smartphone-based decision support tool for the early detection of oral potentially malignant disorders.

Oral potentially malignant disorders can be defined as mucosal lesions and conditions with an increased risk of malignant transformation. Oral potentially malignant disorders are a significant health burden, and they are often diagnosed late due to scant attention to routine dental practice and the low number of specialized oral medicine centres. This report summarizes the DoctOral experience, a research initiative, providing a free smartphone-based decision support tool for the general medical/dental practitioner; the tool is based on the clinical appearance of oral lesions.

Ozone Infiltration for Osteonecrosis of the Jaw Therapy: A Case Series.

Medication-related osteonecrosis of the jaw (MRONJ) is a serious adverse reaction, mainly due to bone-modifying agents (BMA), and it is a potentially painful and debilitating condition. To date, the literature has reported a 90% rate of successful outcomes for MRONJ patients undergoing surgical treatment. Particularly for patients with advanced disease stages who are unsuitable for surgery, prolonged medical treatment is required, with a consequent risk of the overuse of antibiotics and antibiotic resistance.