Smart Healthcare Systems Using Computer Vision and IoE

dc.contributor.authorShweta Dwivedi, Farooq Ahamad, Soumya Singh, Syed Adnan Afaq, Vishal Agarwal
dc.date.accessioned2026-04-24T06:04:18Z
dc.date.issued2025
dc.descriptionComputer Vision and Internet of Everything (IoE) for Societal Needs Rajiv Pandey (Amity University, Lucknow, India), Pratibha Maurya (Amity University, Lucknow, India), Neeraj Kumar Singh (INP-ENSEEIHT, Toulouse Research Institute in Computer Science, France), Anil Kumar Tiwari (Amity University, Lucknow, India), and Jigna Prajapati (Ganpat University, India)
dc.description.abstractIntegrating Computer Vision and the Internet of Everything (IoE) in smart healthcare systems represents a transformative shift towards more personalized, efficient, and proactive medical care. Computer Vision technologies enable the analysis and interpretation of visual data, such as medical imaging and patient monitoring, to support diagnostics, treatment planning, and patient management. Meanwhile, IoE extends the capabilities of IoT by incorporating people, processes, and data into a unified ecosystem, enhancing connectivity and data sharing among healthcare devices and systems. This abstract explores the synergies between Computer Vision and IoE in advancing smart healthcare solutions, focusing on how these technologies collectively improve healthcare delivery through enhanced monitoring, diagnostics, and personalized treatment. The review highlights key advancements, applications, and challenges in this field, providing insights into future research directions and the potential for further innovation in smart healthcare systems.
dc.identifier.isbn9798369382721
dc.identifier.uri10.4018/979-8-3693-8272-1.ch006
dc.identifier.urihttp://136.232.12.194:4000/handle/123456789/1773
dc.language.isoen_US
dc.publisherIGI Global
dc.subjectTECHNOLOGY::Information technology::Computer science
dc.titleSmart Healthcare Systems Using Computer Vision and IoE
dc.typeBook chapter

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