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Blockchain with Artificial Intelligence for Healthcare : A Synergistic Approach / Rishabha Malviya [and four others].
- Format:
- Book
- Author/Creator:
- Malviya, Rishabha, author.
- Series:
- IOP Ebooks Series
- IOP series in next generation computing series
- Language:
- English
- Subjects (All):
- Artificial intelligence--Medical applications.
- Artificial intelligence.
- Blockchains (Databases).
- Physical Description:
- 1 online resource (209 pages)
- Edition:
- First edition.
- Place of Publication:
- Bristol, England : IOP Publishing, [2023]
- Summary:
- This book reviews the technologies and benefits offered by AI and blockchain in particular, and the integration of both in modern biomedical research. The information technology and applications discussed in the book will be essential for anyone needing to understand how these technologies will form a new foundation of biomedical research and modern healthcare.
- Contents:
- PRELIMS.pdf
- <named-book-part-body><p>Artificial intelligence (AI) has already started to work wonders in the healthcare sector, which is enough to fascinate people who grew up in the mechanical era. Applications of AI in telemedicine are becoming increasingly popular. These programs enable doctors to immediately respond by keeping track of patients and providing them with essential information. Blockchain technology helps the healthcare sector by increasing its security and traceability. The most common blockchain healthcare use currently is keeping our critical medical data safe and secure, which is not surprising. Security is a key problem in the healthcare sector. Blockchain is a technology that is suitable for security applications because it can maintain an unchangeable, decentralized, and transparent ledger of all patient data. Furthermore, while blockchain is transparent, it is also private, masking any individual's identity with complex and secure protocols that can protect the confidentiality of medical data. The technology's decentralized structure also makes it possible for patients, physicians, and other healthcare professionals to exchange the same information easily and securely. By incorporating the most recent technological advancements, such as AI and blockchain, the healthcare sector will provide better service at lower prices and with more democratized healthcare. This book emphasises how blockchain and AI might be used in conjunction to improve patient safety, health management, and biomedical research. This book will also shed light on data security, specifically how blockchain is used to manage healthcare data in a secure and transparent manner. This book will focus on the use of blockchain technology powered by AI to advance scientific research, patient safety, health management, and patient data security. This book consists of 11 chapters, and the contents of the book give sufficient and the latest updates about application of AI and blockchain in the healthcare industry. This book provides a glimpse of the concept of smart contracts for performing advanced level scripting to create a blockchain network to provide a platform for the development of decentralized applications. This book should become a useful source for researchers and industrialists working in healthcare, data management, clinical research, and research scholars, blockchain consultants, digital transformation experts, medical technology professionals.</p><p><bold>The authors</bold></p></named-book-part-body></preface><ack><title>Acknowledgements
- Acknowledgements
- Author biographies
- Dr Rishabha Malviya
- Arun Kumar Singh
- Professor Sonali Sundram
- Professor Balamurugan Balusamy
- Professor Seifedine Kadry
- CH001.pdf
- Chapter Blockchain and artificial intelligence: an overview
- 1.1 Introduction
- 1.2 Blockchain in e-Health
- 1.3 Blockchain healthcare use cases in e-Health
- 1.3.1 Supply chain transparency
- 1.3.2 Smart contracts
- 1.3.3 Patient-centric electronic health records
- 1.3.4 Medical staff credential verification
- 1.3.5 Key benefits of the blockchain system
- 1.3.6 IoT security for remote monitoring
- 1.3.7 Tracking clinical trials and pharmaceuticals
- 1.4 Blockchain in the healthcare industry
- 1.4.1 Immutability
- 1.4.2 Decentralized consensus
- 1.4.3 Baked-in incentives
- 1.4.4 Securing e-Health system and efficient data
- 1.5 Artificial intelligence in e-Health
- 1.6 Features of artificial intelligence in e-Health
- 1.6.1 Virtual advisor for personal health
- 1.6.2 Advanced data analysis and screening Generated by AI.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Description based on print version record.
- Includes bibliographical references.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9780750358415
- 0750358416
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