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AI诊疗之辩:“神助攻”还是“乌托邦”
Mei Ri Shang Bao· 2025-06-19 23:20
Core Viewpoint - AI technology is rapidly entering the healthcare sector, with diverse applications emerging, including surgical robots and digital health management, leading to a surge in AI-related news and discussions about its reliability and accountability [1] Group 1: AI in Healthcare Applications - The integration of DeepSeek R1 model into Zhejiang University Shao Yifu Hospital's health management platform allows for real-time health monitoring and personalized health risk assessments based on extensive medical data [2] - The "smart critical care" system developed by Zhejiang Hospital has recorded over 5,000 patient data entries and is capable of identifying infection risks up to 8 hours in advance, significantly improving treatment efficiency [3][4] Group 2: Limitations and Concerns of AI - AI cannot replace doctors in diagnosis or prescription, as it lacks the ability to engage in nuanced patient interactions and clinical judgment, which are crucial in complex medical cases [7][10] - There are concerns regarding the accuracy of AI-generated medical advice, with studies indicating that while some AI models achieve around 80% diagnostic accuracy, the remaining 20% error rate poses significant risks in healthcare [6][7] Group 3: Patient Interaction with AI - Many patients still prefer direct interaction with healthcare professionals over AI tools, particularly older patients who may struggle with technology [5][6] - Instances of AI systems generating prescriptions without thorough patient evaluations raise ethical and safety concerns, highlighting the need for stringent oversight in AI-assisted medical practices [9][10] Group 4: Regulatory and Ethical Considerations - The National Health Commission emphasizes that AI is a tool to assist healthcare professionals, and any errors should not be used as an excuse for inadequate medical practice [10] - The sensitive nature of medical data complicates the use of AI, necessitating careful management to protect patient privacy while leveraging AI capabilities [7][10]