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Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare: An Application Case for Diabetic Foot Management

Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare: An Application Case for Diabetic Foot Management

Tatiana Costa, Luis Coelho, Manuel F. Silva
Copyright: © 2023 |Pages: 29
ISBN13: 9781668452608|ISBN10: 166845260X|EISBN13: 9781668452615
DOI: 10.4018/978-1-6684-5260-8.ch007
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MLA

Costa, Tatiana, et al. "Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare: An Application Case for Diabetic Foot Management." Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare, edited by Ricardo Queirós, et al., IGI Global, 2023, pp. 134-162. https://doi.org/10.4018/978-1-6684-5260-8.ch007

APA

Costa, T., Coelho, L., & Silva, M. F. (2023). Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare: An Application Case for Diabetic Foot Management. In R. Queirós, B. Cunha, & X. Fonseca (Eds.), Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare (pp. 134-162). IGI Global. https://doi.org/10.4018/978-1-6684-5260-8.ch007

Chicago

Costa, Tatiana, Luis Coelho, and Manuel F. Silva. "Integrating Computer Vision, Robotics, and Artificial Intelligence for Healthcare: An Application Case for Diabetic Foot Management." In Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare, edited by Ricardo Queirós, Bruno Cunha, and Xavier Fonseca, 134-162. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5260-8.ch007

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Abstract

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.

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