Core Insights - AI large models are significantly impacting the healthcare industry, driving transformation while presenting both opportunities and challenges [1][2][7] Application Status of AI Large Models in Healthcare - AI large models enhance medical efficiency and are primarily integrated into existing workflows due to industry-specific characteristics and regulatory constraints [2] - Current applications include intelligent diagnostic assistance and personalized medical recommendations, with hundreds of hospitals adopting AI solutions like DeepSeek [2] Specific Practices of AI Large Model Applications - DXY (Dingxiangyuan) has developed various solutions leveraging AI large models to improve healthcare services, drawing on over 20 years of industry data [3] Doctor-side Efficiency - DXY's "Clinical Progress Brief" tool addresses information overload for doctors by filtering and summarizing relevant medical literature, thus improving clinical decision-making efficiency [4] Medical Examination and Learning - "Dingxiang Medical Exam" provides personalized learning support for medical professionals, utilizing AI to tailor study plans based on individual performance and knowledge gaps [5] Patient-side Efficiency - DXY's "Dingxiang Doctor" enhances online consultation efficiency by organizing patient information and improving the search experience for health-related queries [6] Rational Considerations for AI Large Model Applications - Emphasis on safety and quality in healthcare applications, with a focus on quantifying impacts on critical health metrics [7][8] - The need for human assistance in AI processes to bridge the digital divide for vulnerable populations [8] Cost-Benefit Balance - Importance of evaluating hidden costs in AI development to avoid unsustainable practices [8] Enhancing AI Literacy Among Medical Personnel - Continuous education and training in AI technologies are essential for healthcare professionals to effectively integrate AI into their practices [8] Cross-Institutional Collaboration - Establishing data-sharing platforms to enhance AI model training and improve accuracy through collaborative efforts across institutions and disciplines [8] Integration of Traditional Medicine - AI can support the preservation and development of traditional medicine, facilitating its integration with modern practices [9] Future Outlook - The healthcare industry is moving towards a more intelligent, efficient, and human-centered approach, with ongoing exploration of AI applications to enhance service delivery [9]