Digital transformation in healthcare 5.0: volume 1: IoT, AI and Digital Twin

"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth di...

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Bibliographic Details
Other Authors: Malviya, Rishabha (Editor), Sundram, Sonali (Editor), Kumar Dhanaraj, Rajesh (Editor), Kadry, Seifedine (Editor)
Format: Electronic eBook
Language:English
Published: Berlin ; Boston De Gruyter [2024]
Series:Smart Computing Applications 9/1
Subjects:
Links:https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://www.degruyter.com/document/isbn/9783111327853/html
https://www.degruyter.com/document/isbn/9783111327853/html
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
https://doi.org/10.1515/9783111327853
Summary:"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images
Physical Description:1 Online-Ressource (XIV, 332 Seiten)
ISBN:9783111327853
9783111327860
DOI:10.1515/9783111327853