Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare

dc.contributor.author Costa,T en
dc.contributor.author Coelho,L en
dc.contributor.author Manuel Santos Silva en
dc.contributor.other 5655 en
dc.date.accessioned 2023-05-08T08:11:08Z
dc.date.available 2023-05-08T08:11:08Z
dc.date.issued 2022 en
dc.description.abstract <jats:p>Technological evolution has allowed that tasks, usually performed by humans, can now be performed accurately by automated systems, often with superior performance. The healthcare area has been paradigmatic in the automation of processes, as the need to optimize costs, ensuring the provision of quality care, is crucial for the success of organizations. Diabetes, whose prevalence has increased significantly in the last decade, could be a case of application of several technologies that facilitate diagnosis, tracking and monitoring. Such tasks demand a great effort from health systems, requiring the allocation of material, human and financial resources, under penalty of worsening symptoms and emergence of serious complications. In this chapter the authors will present and explore how different technologies can be integrated to provide better healthcare, ensuring quality and safety standards, with reference to the case of diabetes.</jats:p> en
dc.identifier P-00X-BG0 en
dc.identifier.uri http://dx.doi.org/10.4018/978-1-6684-5260-8.ch007 en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/13916
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare en
dc.type en
dc.type Publication en
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