Development of an AI/ML-ready knee ultrasound dataset in a population-based cohort

<h1>About the data</h1>An ultrasound dataset to use in the discovery of ultrasound features associated with pain and radiographic change in KOA is highly innovative and will be a major step forward for the field. These ultrasound images originate from the diverse and inclusive population-based Johnston County Health Study (JoCoHS). This dataset is designed to adhere to FAIR principles and was funded in part by an Administrative Supplement to Improve the AI/ML-Readiness of NIH-Supported Data (3R01AR077060-03S1). This dataset includes a subset of JoCoHS participants who underwent ultrasound imaging and radiographic evaluations.

<h1>数据集概况</h1>本数据集用于发掘与膝骨关节炎（Knee Osteoarthritis, KOA）疼痛及影像学改变相关的超声特征，具备极高创新性，将为本领域发展带来重要突破。本数据集的超声影像均源自多元化、包容性的基于人群的约翰斯顿县健康研究（Johnston County Health Study, JoCoHS）。本数据集遵循FAIR原则构建，其部分资助来自旨在提升美国国立卫生研究院（National Institutes of Health, NIH）支持数据的人工智能/机器学习（AI/ML）可用性的行政补充项目（3R01AR077060-03S1）。本数据集包含约翰斯顿县健康研究中接受超声成像及影像学评估的部分受试者数据。