Core Insights - The integration of artificial intelligence (AI) in healthcare is transforming medical practices, making advanced technologies like surgical robots and AI-assisted diagnostics a reality [2][3][5] Group 1: AI in Surgical Procedures - AI is enhancing surgical precision, with robots now capable of performing complex procedures that previously required multiple doctors, thus shifting from open surgeries to minimally invasive techniques [3] - The development of intelligent microsurgical robots allows for precise operations in ophthalmology, surpassing human limitations in stability and accuracy [5] Group 2: AI in Medical Research - The concept of creating digital models of entire biological systems for virtual clinical trials is becoming feasible, driven by the integration of vast datasets and advanced AI algorithms [6] - Challenges remain in standardizing medical data and ensuring quality control, which are critical for maximizing the value of healthcare data [6] Group 3: AI in Healthcare Services - AI is positioned as a "super assistant" to doctors, enhancing accessibility to quality healthcare services, particularly in chronic disease management [8] - Innovative applications of AI, such as real-time dietary feedback for diabetes management, demonstrate significant improvements in patient compliance and cost-effectiveness [8] Group 4: Future of AI in Healthcare - The ongoing development of humanoid robots for elderly care and automated pharmacy services indicates a growing trend towards automation in healthcare settings [11] - The "Healthy China 2030" initiative aims to position China as a leader in health technology innovation, promoting a more equitable and intelligent healthcare system [11]