OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 13.03.2026, 20:12

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

Next-Gen Medical Collaboration Integrating Blockchain for Image Sharing

2024·2 Zitationen
Volltext beim Verlag öffnen

2

Zitationen

5

Autoren

2024

Jahr

Abstract

Healthcare institutions, including hospitals, clinics, and medical imaging centers, often encounter difficulties in sharing medical images across different systems and facilities. Further, most healthcare systems face concerns related to data security and patient privacy. This paper is based on the development of a blockchain-powered medical image storage and sharing platform. The platform’s architecture includes components such as smart contracts, encryption mechanisms, and decentralized storage systems, which collectively enable seamless and trustworthy medical image sharing. The use of smart contracts provides a reliable framework for access control and data sharing permissions. The encryption mechanisms safeguard sensitive patient information during transmission and storage, bolstering data security and privacy. Additionally, the utilization of decentralized storage systems ensures redundant and distributed data storage, mitigating the risk of data loss, manipulation, or security threats. The research underlying this project involves leveraging blockchain’s inherent properties of decentralization, immutability, and transparency to establish a secure and interoperable infrastructure for medical image exchange. By harnessing the potential of distributed ledger technology, the proposed platform addresses the existing challenges of fragmented systems, limited interoperability, and data silos in medical image sharing. Blockchain technology addresses critical challenges in medical image sharing, paving the way for enhanced collaboration, improved patient care, and increased efficiency in healthcare.

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Blockchain Technology Applications and SecurityBrain Tumor Detection and ClassificationArtificial Intelligence in Healthcare and Education
Volltext beim Verlag öffnen