Di Fede Olga, Panzarella Vera, Buttacavoli Fortunato, La Mantia Gaetano, Campisi Giuseppina
Department of Surgical, Oncological and Oral Sciences (Di.Chir.On.S), University of Palermo, Sicily, Italy.
Unit of Oral Medicine and Dentistry for Fragile Patients, Department of Rehabilitation, Fragility and Continuity of Care, University Hospital Palermo, Palermo, Italy.
Digit Health. 2023 May 25;9:20552076231177141. doi: 10.1177/20552076231177141. eCollection 2023 Jan-Dec.
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. Captured, oral pictures can be immediately examined via interactive decision trees and constructed on the smartphone. Such decision trees are expressed in standard formats, and they are readily accessible for facilitating the completion of a hypothetical diagnostic path. Since October 2017 the DoctOral mobile app has been downloaded by 10K + users, achieving a score of 4.8 out of 5. DoctOral also supports an unfolding joint initiative, called DoctOralAI: this involves selecting reference images, with which to create an open-source model, and perform a Case-Based Reasoning method, both of which are combined with machine learning. The DoctOral mobile app has revolutionized oral pathology by providing dental students and professionals with an interactive platform for recognizing and diagnosing oral lesions.
口腔潜在恶性疾病可定义为具有恶性转化风险增加的黏膜病变和状况。口腔潜在恶性疾病是一项重大的健康负担，由于对常规牙科诊疗的关注度不足以及专业口腔医学中心数量较少，它们往往诊断较晚。本报告总结了DoctOral项目的经验，这是一项研究倡议，为普通医学/牙科从业者提供了一个基于智能手机的免费决策支持工具；该工具基于口腔病变的临床表现。拍摄的口腔图片可通过交互式决策树立即在智能手机上进行检查并构建。此类决策树以标准格式呈现，便于完成假设性诊断路径。自2017年10月以来，DoctOral移动应用程序已被10000多名用户下载，评分达到4.8（满分5分）。DoctOral还支持一项正在开展的联合倡议，称为DoctOralAI：这包括选择参考图像以创建开源模型，并执行基于案例的推理方法，这两者都与机器学习相结合。DoctOral移动应用程序通过为牙科学生和专业人员提供一个识别和诊断口腔病变的交互式平台，彻底改变了口腔病理学。
