MMDental - A multimodal dataset of tooth CBCT images with expert medical records

In the rapidly evolving field of dental intelligent healthcare, where Artificial Intelligence (AI) plays a pivotal role, the demand for multimodal datasets is critical. Existing public datasets are primarily composed of single-modal data, predominantly dental radiographs or scans, which limits the development of AI-driven applications for intelligent dental treatment. In this paper, we collect a MultiModal Dental (MMDental) dataset to address this gap. MMDental comprises data from 660 patients, including 3D Cone-beam Computed Tomography (CBCT) images and corresponding detailed expert medical records with initial diagnoses and follow-up documentation. All CBCT scans are conducted under the guidance of professional physicians, and all patient records are reviewed by senior doctors. To the best of our knowledge, this is the first and largest dataset containing 3D CBCT images of teeth with corresponding medical records. Furthermore, we provide a comprehensive analysis of the dataset by exploring patient demographics, prevalence of various dental conditions, and the disease distribution across age groups. We believe this work will be beneficial for further advancements in dental intelligent treatment.

牙科智能医疗领域正快速演进，人工智能（Artificial Intelligence）在此发挥着关键核心作用，多模态数据集的需求愈发迫切。现有的公开数据集多以单模态数据为主，主要包含牙科X光片或扫描影像，这制约了面向智能牙科诊疗的人工智能驱动应用的开发。为此，本文构建了多模态牙科（MultiModal Dental，简称MMDental）数据集以填补这一研究空白。该数据集涵盖660名患者的相关数据，包括3D锥形束计算机断层扫描（Cone-beam Computed Tomography，简称CBCT）影像，以及包含初始诊断与随访记录的详细专家医疗文书。所有CBCT扫描均在专业医师的指导下完成，所有患者病历均经资深医师审核把关。据我们所知，本数据集是目前首个且规模最大的包含牙齿3D CBCT影像及其对应医疗记录的数据集。此外，我们还针对该数据集开展了全面分析，涵盖患者人口统计学特征、各类牙科疾病的患病率以及不同年龄段的疾病分布情况。我们相信本研究将推动牙科智能诊疗领域的进一步发展。

搜集汇总

背景与挑战

背景概述

MMDental是一个多模态牙科数据集，包含660名患者的3D CBCT图像和详细的专家医疗记录，是首个且最大的此类数据集，旨在推动牙科智能治疗的发展。数据集大小为63.41 GB，采用CC BY许可。