Email this article Secure AI-Assisted Diagnosis Using Blockchain-Based Data Validation
Abstract
This study proposes a blockchain-enabled system to validate and secure data used in AI-assisted medical diagnosis. The framework ensures that only authenticated, high-quality data is fed into AI diagnostic models, preventing errors and bias caused by tampered inputs. By leveraging cryptographic verification and smart contracts, the system enhances trust in AI-driven healthcare solutions. Experimental results show improved diagnostic accuracy and reduced risks of data manipulation, making it a vital tool for secure AI integration in healthcare.
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