Group 1: AI Redefining Healthcare - AI is transforming traditional medical practices, moving from manual operations to automated processes [3][5][9] - The shift from paper-based records to electronic medical records (EMR) and hospital information systems (HIS) is crucial for efficiency [7][23] - AI technologies like large language models and surgical robots enable goal-driven autonomous decision-making [9][19] Group 2: AI Collaboration with Healthcare Professionals - AI enhances collaborative decision-making between AI systems and doctors, improving diagnostic accuracy and patient care [13][19] - The integration of AI in clinical workflows allows for real-time interaction and decision support [16][21] - AI-driven tools facilitate the generation and quality control of medical records, ensuring compliance with standards [19][64] Group 3: Technological Advancements and Models - The latest model, WiNGPT2.8-32B, was developed starting January 2023, focusing on enhancing medical AI capabilities [39][40] - The model's training includes over 2.27 million instruction data points, improving its performance in medical contexts [44][48] - Advanced quantization techniques (AWQ and GPTQ) are employed to optimize model efficiency and performance [55] Group 4: Data Management and Security - The Model Context Protocol (MCP) standardizes interactions between large models and external data, enhancing data security [26][27] - AI systems are designed to minimize hallucinations and ensure the accuracy of generated medical information [25][66] - The integration of blockchain technology is proposed for maintaining transparency and accountability in AI-driven healthcare [23] Group 5: Practical Applications and Outcomes - AI applications have been successfully implemented in various clinical scenarios, including surgical assistance and patient management [72][73] - The use of AI in blood management and preoperative assessments has shown potential for improving patient outcomes [70][72] - Continuous feedback mechanisms are established to refine AI models based on user interactions and preferences [48][51]