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image of Next-Gen Health Informatics- Artificial Intelligence Powered Diagnostics and Blockchain Enabled Data Integrity For Radiological Image Analysis

Abstract

The revolutionary effects of blockchain technology and artificial intelligence (AI) on the radiology department of healthcare administration are examined in this article. AI has become a vital tool in boosting image analysis precision, streamlining workflows, and improving patient outcomes as the need for prompt and accurate medical diagnosis increases. Concurrently, the incorporation of blockchain technology tackles important issues with patient privacy, interoperability, and data security. This paper presents the basic concepts of blockchain and artificial intelligence, with an emphasis on how they could cooperate in radiology. The primary objectives of integrating AI and blockchain in radiology are to increase diagnostic accuracy, safeguard the privacy and integrity of medical data, and facilitate seamless data sharing between healthcare providers. This essay demonstrates the effective use of AI-driven diagnostic tools in conjunction with blockchain's secure data management capabilities through a thorough literature research and analysis of recent deployments. According to research, combining these technologies can increase radiological practice efficiency, lower diagnostic error rates, and boost patient confidence in the healthcare system. Significant results could come from this integration, including improved data transparency, more efficient workflows, and more individualized patient care. To fully reap the benefits, however, issues like technological constraints, legal restrictions, and moral worries about algorithmic bias and data privacy must be resolved. In the end, this paper emphasizes how crucial it is to carry out more research and development in order to fully utilize blockchain and artificial intelligence (AI) to transform healthcare administration in radiology and beyond.

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2025-04-25
2025-09-13

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/content/journals/swcc/10.2174/0122103279377272250418032737
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Next-Gen Health Informatics- Artificial Intelligence Powered Diagnostics and Blockchain Enabled Data Integrity For Radiological Image Analysis
Bentham Science Publishers ; https://doi.org/10.2174/0122103279377272250418032737
/content/journals/swcc/10.2174/0122103279377272250418032737
/content/journals/swcc/10.2174/0122103279377272250418032737
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  • Article Type:     Review Article
Keywords: Artificial intelligence ; health informatics ; blockchain technology ; image analysis ; data security ; healthcare management ; radiology

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