Hospital Israelita Albert Einstein, Big Data, São Paulo SP, Brazil.
Universidade de São Paulo, Faculdade de Medicina, Instituto de Radiologia, São Paulo SP, Brazil.
Arq Neuropsiquiatr. 2022 May;80(5 Suppl 1):342-347. doi: 10.1590/0004-282X-ANP-2022-S139.
Recent advances in technology have allowed us access to a multitude of datasets pertaining to various dimensions in neurology. Together with the enormous opportunities, we also face challenges related to data quality, ethics and intrinsic difficulties related to the application of data science in healthcare. In this article we will describe the main advances in the field of artificial intelligence and Big Data applied to neurology with a focus on neurosciences based on medical images. Real-World Data (RWD) and analytics related to large volumes of information will be described as well as some of the most relevant scientific initiatives at the time of this writing.
近年来，技术的进步使我们能够访问与神经科各个方面相关的大量数据集。除了巨大的机会之外，我们还面临与数据质量、伦理以及数据科学在医疗保健中的应用相关的固有困难有关的挑战。在本文中，我们将描述人工智能和大数据在神经病学领域的主要进展，重点是基于医学图像的神经科学。还将描述与大量信息相关的真实世界数据（RWD）和分析，以及撰写本文时一些最相关的科学举措。
