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Blockchain meets AI in healthcare: a review of convergent technologies for digital health transformation
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DOI：10.3389/fbloc.2026.1766092.png)
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Abstract
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Introduction: Blockchain and AI (Artificial Intelligence) are shaping a new medical ecosystem as two key technologies for the digital transformation of healthcare. Methods: This paper provides systematic review and theoretical framework for understanding the evolutionary logic, key themes and future trends of blockchain-artificial intelligence integration. Results and Discussion: This study discusses the digital health transformation path of blockchain and AI in the healthcare field from dimensions such as theme clustering, trend evolution, technical background, application, and future challenges. Blockchain has advantages in building a trusted data infrastructure. Artificial intelligence has a natural talent for enhancing the efficiency of clinical decision-making and operations. The deep integration between the two is driving the transformation of healthcare from single-point digitalization to system intelligence. Despite challenges such as regulatory systems, cross-institutional collaboration, talent structure, and medical ethics, reliable intelligent healthcare systems have become the development direction of future healthcare models.
Keywords:
AI (artificial intelligence)
blockchain
clinical decision making
digital health transformation
healthcare
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2.4
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59
Citations:
558
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