Digital transformation in healthcare 5.0: volume 2: metaverse, nanorobots and machine learning

The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector,...

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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 9/2
Subjects:
Links:https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
https://doi.org/10.1515/9783111398549
Summary:The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool
Physical Description:1 Online-Ressource (XIX, 378 Seiten)
ISBN:9783111398549
9783111399119
DOI:10.1515/9783111398549