Application of Deep Learning and Blockchain in Healthcare Systems

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2520

Special Issue Editors


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Guest Editor
Department of Surgery and Cancer, Imperial College London, London SW72BX, UK
Interests: deep learning; healthcare systems; computer vision; food AI and blockchain technology
Department of Mechanical Engineering, Imperial College London, London SW72BX, UK
Interests: machine learning; medical robotics; reinforcement learning; deep learning; intelligent control

Special Issue Information

Dear Colleagues,

With the development of the Internet of Things (IoT) and artificial intelligence (AI), the healthcare field has been gradually digitized. In the current digital era, AI-driven healthcare systems have become a popular direction to pursue. Deep learning/ machine learning has been proven to be useful in all areas of healthcare applications, including but not limited to disease diagnosis, healthcare monitoring, patient identification, treatment recommendation, dietary assessment, privacy protection and other specialized healthcare support in image analysis. For example, AI-driven healthcare systems can provide semi/fully-automated diagnostic services to assist doctors in making decisions and developing solutions. Moreover, AI techniques can also be utilized to assist the operation of surgery, such as through manipulation, navigation, etc. With the combination of IoT and AI technology, wearable medical devices/sensors can further facilitate the long-term monitoring of a patient’s health conditions, which reduces the burden of practitioners and improves the efficacy of treatment.

In recent years, with the advances in blockchain technology, new scopes of applications have been discovered, especially in the field of Fintech. However, applications in healthcare have not yet been extensively studied. The unique advantages of blockchain, such as decentralized architecture, immutable nature, public visibility, data storage, etc., have great potential to assist healthcare systems. Therefore, it is generally believed that blockchain technology may also provide a direct contribution to the next generation of healthcare systems.

Dr. Frank Po Wen Lo
Dr. Bo Xiao
Guest Editors

Manuscript Submission Information

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Keywords

  • healthcare monitoring systems
  • artificial intelligence for healthcare applications
  • deep learning for smart health
  • blockchain technology for healthcare applications
  • metaverse-based healthcare monitoring systems
  • disease diagnosis
  • privacy protection of patient data
  • data security
  • innovative IoMT solutions
  • AI-driven wearable sensors

Published Papers (1 paper)

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Review

29 pages, 3751 KiB  
Review
Blockchain Revolutionizing in Emergency Medicine: A Scoping Review of Patient Journey through the ED
by Tzu-Chi Wu and Chien-Ta Bruce Ho
Healthcare 2023, 11(18), 2497; https://doi.org/10.3390/healthcare11182497 - 08 Sep 2023
Cited by 2 | Viewed by 1905
Abstract
Background: Blockchain technology has revolutionized the healthcare sector, including emergency medicine, by integrating AI, machine learning, and big data, thereby transforming traditional healthcare practices. The increasing utilization and accumulation of personal health data also raises concerns about security and privacy, particularly within emergency [...] Read more.
Background: Blockchain technology has revolutionized the healthcare sector, including emergency medicine, by integrating AI, machine learning, and big data, thereby transforming traditional healthcare practices. The increasing utilization and accumulation of personal health data also raises concerns about security and privacy, particularly within emergency medical settings. Method: Our review focused on articles published in databases such as Web of Science, PubMed, and Medline, discussing the revolutionary impact of blockchain technology within the context of the patient journey through the ED. Results: A total of 33 publications met our inclusion criteria. The findings emphasize that blockchain technology primarily finds its applications in data sharing and documentation. The pre-hospital and post-discharge applications stand out as distinctive features compared to other disciplines. Among various platforms, Ethereum and Hyperledger Fabric emerge as the most frequently utilized options, while Proof of Work (PoW) and Proof of Authority (PoA) stand out as the most commonly employed consensus algorithms in this emergency care domain. The ED journey map and two scenarios are presented, exemplifying the most distinctive applications of emergency medicine, and illustrating the potential of blockchain. Challenges such as interoperability, scalability, security, access control, and cost could potentially arise in emergency medical contexts, depending on the specific scenarios. Conclusion: Our study examines the ongoing research on blockchain technology, highlighting its current influence and potential future advancements in optimizing emergency medical services. This approach empowers frontline medical professionals to validate their practices and recognize the transformative potential of blockchain in emergency medical care, ultimately benefiting both patients and healthcare providers. Full article
(This article belongs to the Special Issue Application of Deep Learning and Blockchain in Healthcare Systems)
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