Departamento de Informática en Salud, Hospital Italiano de Buenos Aires, Tte. Gral. Juan Domingo Perón 4190, 1199, Ciudad Autónoma de, Buenos Aires, Argentina.
Universidad Tecnológica Nacional, Av. Medrano 951, 1179, Ciudad Autónoma de, Buenos Aires, Argentina.
Sci Data. 2023 Oct 18;10(1):712. doi: 10.1038/s41597-023-02630-0.
In recent years, numerous dermatological image databases have been published to make possible the development and validation of artificial intelligence-based technologies to support healthcare professionals in the diagnosis of skin diseases. However, the generation of these datasets confined to certain countries as well as the lack of demographic information accompanying the images, prevents having a real knowledge of in which populations these models could be used. Consequently, this hinders the translation of the models to the clinical setting. This has led the scientific community to encourage the detailed and transparent reporting of the databases used for artificial intelligence developments, as well as to promote the formation of genuinely international databases that can be representative of the world population. Through this work, we seek to provide details of the processing stages of the first public database of dermoscopy and clinical images created in a hospital in Argentina. The dataset comprises 1,616 images corresponding to 1,246 unique lesions collected from 623 patients.
近年来，已经发布了许多皮肤科图像数据库，以使基于人工智能的技术得以开发和验证，从而为医疗保健专业人员诊断皮肤病提供支持。然而，这些数据集的生成仅限于某些国家，并且图像伴随的人口统计信息的缺乏，使得我们无法真正了解这些模型可以在哪些人群中使用。因此，这阻碍了模型在临床环境中的转化。这促使科学界鼓励详细和透明地报告用于人工智能开发的数据库，并促进形成真正具有国际代表性的数据库，以代表世界人口。通过这项工作，我们旨在提供在阿根廷一家医院创建的第一个公共皮肤镜和临床图像数据库的处理阶段的详细信息。该数据集包含 1616 张图像，对应于从 623 名患者中收集的 1246 个独特病变。
