Tobón Diana P, Hossain M Shamim, Muhammad Ghulam, Bilbao Josu, Saddik Abdulmotaleb El
Department of Telecommunications Engineering, Universidad de Medellín, Medellín, Colombia.
Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, 11543 Saudi Arabia.
Multimed Syst. 2022;28(4):1465-1479. doi: 10.1007/s00530-022-00948-0. Epub 2022 May 24.
The increase in chronic diseases has affected the countries' health system and economy. With the recent COVID-19 virus, humanity has experienced a great challenge, which has led to make efforts to detect it and prevent its spread. Hence, it is necessary to develop new solutions that are based on technology and low cost, to satisfy the citizens' needs. Deep learning techniques is a technological solution that has been used in healthcare lately. Nowadays, with the increase in chips processing capabilities, increase size of data, and the progress in deep learning research, healthcare applications have been proposed to provide citizens' health needs. In addition, a big amount of data is generated every day. Development in Internet of Things, gadgets, and phones has allowed the access to multimedia data. Data such as images, video, audio and text are used as input of applications based on deep learning methods to support healthcare system to diagnose, predict, or treat patients. This review pretends to give an overview of proposed healthcare solutions based on deep learning techniques using multimedia data. We show the use of deep learning in healthcare, explain the different types of multimedia data, show some relevant deep learning multimedia applications in healthcare, and highlight some challenges in this research area.
慢性病的增加影响了各国的卫生系统和经济。随着最近的新冠病毒，人类经历了巨大挑战，这促使人们努力检测该病毒并防止其传播。因此，有必要开发基于技术且低成本的新解决方案，以满足公民的需求。深度学习技术是一种最近在医疗保健领域得到应用的技术解决方案。如今，随着芯片处理能力的提高、数据量的增加以及深度学习研究的进展，已提出了医疗保健应用来满足公民的健康需求。此外，每天都会产生大量数据。物联网、小工具和手机的发展使得获取多媒体数据成为可能。诸如图像、视频、音频和文本等数据被用作基于深度学习方法的应用的输入，以支持医疗保健系统对患者进行诊断、预测或治疗。本综述旨在概述基于深度学习技术并使用多媒体数据的医疗保健解决方案。我们展示了深度学习在医疗保健中的应用，解释了不同类型的多媒体数据，展示了一些医疗保健领域相关的深度学习多媒体应用，并突出了该研究领域的一些挑战。
