Smart devices in healthcare can interact with the environment by gathering, processing, interpreting, storing, and retrieving information originated from sensors, neuromorphic analog circuits, robots, and other data retrieving sources through explainable AI, Internet of Things, Gestural technology, federated learning. These systems can exploit Visual Languages to improve communication with people in real-life scenarios, such as intelligent devices which Recognize patterns easily, sharpens the perception. This technology aims to transforms images from the original grayscale and reveals hidden patterns, into new well-defined structured patterns empowering research community, and computer analytics to remove indicative uncertainty. Such languages, combined with intelligent, experience-based, healthcare systems, fall in the area of Visual Intelligence, empowering people to understand how machines process the data smart healthcare devices. Moreover, Visual Intelligence comprises all the processes enabling machines to analyze and interpret the data. The combination of smart healthcare and Visual Intelligence with federated learning has given rise to exciting new applications in fields as diverse as healthcare, education, marketing, games, and automotive. For example, instead of relying only on textual data to create a self-driving car, customers can provide data about the routes they take in a day along with images or videos. Thus, people can help intelligent systems to be trained on a variety of new multimedia sources.
Aims and scope, plus topics of interest.
Anchored at healthcare applications, Visual Intelligence focuses on research areas that connect visual information processing with intelligence, federated learning, and the Internet of things, promoting their integration and exciting new developments. Analog VLSI circuits for the perception of visual motion is a unique reference for advanced students in electrical engineering, artificial intelligence, robotics, and computational neuroscience.
This special issue invites research papers/letters/ review articles from all over the globe to publish leading international research on the theories, practices, and experiences in the field of smart healthcare for visual intelligence with federated learning. Through smart healthcare for visual intelligence, it is expected to improve teaching and learning practices.