Wang Jian'an, a member of the National Committee of the Chinese People's Political Consultative Conference, an academician of the Chinese Academy of Sciences, and president of the Second Affiliated Hospital of Zhejiang University School of Medicine, has been focusing on strengthening safety safeguards for the application of artificial intelligence in healthcare.

Wang's research shows that medical AI faces multiple safety risks. Algorithm interpretability remains limited, making it difficult for doctors to determine whether AI-generated conclusions align with clinical realities, which restricts its use in high-risk medical scenarios. Data security and privacy protection pressures are also increasing, with potential risks of re-identification.

He said that AI models often lack continuous monitoring during operation, creating regulatory blind spots. Meanwhile, AI systems have become high-value targets for attacks. By inserting adversarial samples or tampering with algorithm parameters, attackers could interfere with diagnostic results and potentially endanger patient safety.

To address these challenges, Wang said mandatory standards should be established to ensure traceability in medical AI systems. He also called for strengthening full-chain governance of medical data, improving data classification and tiered management, and promoting technologies such as federated learning and differential privacy.

In addition, he suggested building a full lifecycle regulatory system for medical AI and incorporating such systems into the scope of critical infrastructure protection.

Wang said development of AI-powered healthcare should remain patient-centered, ensuring that technological innovation ultimately benefits public health.