SIASUN(SZ:300024) Di Yi Cai Jing·2025-05-25 11:39Group 1: AI in Clinical Diagnosis - Artificial intelligence is transforming clinical diagnosis from experience-based medicine to data-driven approaches, enhancing personalized treatment [1][3] - AI technologies, such as digital twin doctors, are being integrated into medical teams, allowing for modeling and simulation of patient data to improve diagnosis and treatment [3][12] - A deep learning model for CT myocardial perfusion imaging has been developed to accurately assess myocardial ischemia, providing valuable quantitative metrics for doctors [6][7] Group 2: AI in Surgical Procedures - AI-assisted surgical robots are being utilized for remote surgeries, breaking geographical barriers and allowing for complex procedures to be performed from a distance [8][9] - The development of AI systems for pre-surgical planning is enabling surgeons to visualize and simulate operations, improving precision and outcomes [11][12] - AI is expected to play a significant role in the future of smart hospitals, enhancing patient monitoring and treatment planning through digital twin technology [13] Group 3: Ethical Considerations and Future Implications - The integration of AI in healthcare raises ethical questions, particularly regarding data security and the role of AI in decision-making processes [18][19] - Experts emphasize that AI should serve as a "super assistant" to doctors, enhancing their capabilities rather than replacing them, especially in areas requiring empathy and moral judgment [19] - The future of healthcare is envisioned as a collaboration between AI and human doctors, where AI alleviates repetitive tasks, allowing doctors to focus on patient care [19]