Core Insights - The global medical AI sector is becoming a competitive arena, with significant advancements in technology and application integration in China [2] - The development of AI in healthcare has transitioned from pilot scenarios to ecosystem restructuring, emphasizing the need for a new infrastructure for medical data [2] - Challenges remain in the supply of high-quality data samples and the translation of clinical research into practical applications [2] Group 1: Current State of Medical AI in China - Medical AI in China is experiencing a new wave of integration between technology and practical scenarios, aiming for breakthroughs in efficiency, value, and equity [2] - Over the past decade, China has progressed from the popularization of electronic medical records to AI-assisted diagnosis and intelligent treatment platforms [2] - Shanghai has established itself as a core training base for AI, driven by data [2] Group 2: Challenges in Medical AI Development - There is a shortage of high-quality data samples available for AI training [2] - The proportion of research-oriented hospital beds in China is still low, indicating a gap in achieving research goals [2] Group 3: Practical Applications of AI in Healthcare - AI applications in pediatrics have effectively alleviated the pressure on doctors during consultations [2] - Digitalization of the entire process in oral imaging diagnosis has been achieved [2] - Remote diagnosis for skin diseases is rapidly gaining popularity, along with advancements in smart payment, triage, and follow-up services [2] Group 4: Future Directions for Medical AI - The company suggests promoting interdisciplinary multimodal data integration [3] - Exploration of automated surgical systems is recommended [3] - Development of digital therapies and personalized treatments is encouraged [3] - Strengthening the AI risk governance framework across technology, ethics, and regulations is essential [3]