Core Viewpoint - The article discusses the transformative impact of artificial intelligence (AI) on clinical diagnosis and treatment, shifting from experience-based medicine to data-driven approaches, enhancing personalized treatment, and reshaping the entire medical value chain [1]. Group 1: AI in Clinical Diagnosis - AI is facilitating the transition from traditional experience-based diagnosis to data-driven methods, improving diagnostic accuracy and treatment personalization [4][5]. - A deep learning model for CT myocardial perfusion imaging has been developed to quantify myocardial blood flow and ischemic heart volume percentage, aiding in the accurate diagnosis of coronary heart disease [6][7]. - The number of coronary heart disease patients in China exceeds 10 million, highlighting the critical need for precise assessment of vascular conditions and myocardial ischemia [7]. Group 2: AI in Surgical Procedures - AI-assisted surgical robots are being deployed in hospitals, enabling remote surgeries and breaking geographical barriers in medical treatment [10][11]. - The introduction of a liver intelligent surgical planning system allows for 3D reconstruction and simulation of surgical outcomes, enhancing precision in complex surgeries [13]. - AI technology is expected to revolutionize surgical practices, allowing doctors to perform surgeries from various locations, including offices and transport [11][13]. Group 3: AI's Role in Medical Decision-Making - AI is increasingly participating in multidisciplinary team (MDT) consultations, providing recommendations for complex cases, and acting as a "genetic counselor" in personalized medicine [17][19]. - The integration of AI in medical decision-making aims to enhance the quality of care while allowing physicians to focus on patient interaction and empathy [19][20]. - Ethical considerations regarding AI's role in healthcare are being discussed, emphasizing the need for regulations and standards to ensure patient safety and data security [20]. Group 4: Future of AI in Healthcare - The future of healthcare is envisioned as a collaboration between human doctors and AI systems, where AI serves as a powerful assistant rather than a replacement for human expertise [20]. - The development of digital twin technology in ICUs aims to create personalized health monitoring systems, enhancing patient care through real-time data integration [15]. - AI's potential to streamline operations and improve patient outcomes is being explored, with a focus on creating a more efficient healthcare system [15].

Group 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]