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2000
Volume 22, Issue 6
  • ISSN: 1570-1638
  • E-ISSN: 1875-6220

Abstract

The effective integration of blockchain technology and artificial intelligence (AI) has the potential to change healthcare management. Two cutting-edge developments in the healthcare industry are blockchain and artificial intelligence. Blockchain, an open network for information sharing and permission, is being used in e-Health to apply artificial intelligence models. Healthcare workers will be able to view patient medical records on the blockchain. Artificial intelligence (AI) makes use of a wide range of suggested algorithms, decision-making power, and vast amounts of data. Health care services can be made more decentralized, transparent, safe, and impenetrable with the use of blockchain technology. AI needs cryptographic records to be stored, and blockchain makes this possible. Applications of artificial intelligence in healthcare management include chatbots for diagnosis and treatment, predictive analytics, personalized medicine, and more. Blockchain technology has applications in supply chain management, clinical trial management, interoperability, and data security and integrity in healthcare management. A more effective, safe, and patient-centered healthcare ecosystem can be created by integrating blockchain technology and artificial intelligence (AI) into healthcare management. It can encourage the development of a wide range of applications in radiology, cancer treatment, cardiology, dermatology, and fundoscopy that may save patients' lives.

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2025-10-19

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/content/journals/cddt/10.2174/0115701638361312250402125556
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Effective Integration of Artificial Intelligence and Blockchain Technologies for Empowerment of Drug Discovery and Development
Current Drug Discovery Technologies 22, E15701638361312 (2025); https://doi.org/10.2174/0115701638361312250402125556
/content/journals/cddt/10.2174/0115701638361312250402125556
/content/journals/cddt/10.2174/0115701638361312250402125556
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  • Article Type:     Review Article
Keyword(s): algorithms; artificial intelligence; Blockchain technologies; clinical trials; electronic medical records; social and public health

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