朱同玉 ：推动技术扎根临床，共创实在的健康未来

Core Insights - The transformative impact of artificial intelligence (AI) in healthcare is becoming tangible, with AI-assisted diagnostic systems improving efficiency in identifying diseases, large model technologies offering new pathways for drug development, and smart health devices extending chronic disease management into patients' homes [1][2] Group 1: AI in Healthcare - AI is no longer a distant concept but is actively being integrated into clinical settings, including examination rooms, operating rooms, and laboratories [1] - The core of these changes is to assist and empower healthcare professionals, enhancing decision-making and increasing efficiency, ultimately benefiting patients [1] Group 2: Challenges in Implementation - There is a significant gap between ideal scenarios and reality, as technology companies may understand algorithms but lack deep insights into the complexities of clinical processes and medical safety [1] - Effective communication between doctors and engineers is crucial, as many promising algorithms fail to transition from research to practical application due to a lack of real clinical scenarios for refinement [1] Group 3: Focus on Practical Dialogue - The emphasis should be on fostering practical dialogue between medicine and technology, allowing doctors to express clinical pain points and engineers to accurately understand medical logic [2] - Rigorous validation and iteration of technological products in real healthcare environments are deemed more important than flashy marketing [2] Group 4: Value of Industry Mapping - A valuable industry map should clarify which technologies are genuinely addressing clinical issues, their current status, and the key obstacles that remain [2] - This mapping should help clinicians understand the value and limitations of tools while guiding developers to focus on genuine innovations, avoiding resource waste on non-essential needs [2] Group 5: Collaborative Progress - Progress in healthcare relies on steady, practical steps, with a call for collaboration among all stakeholders to root AI technology in China's clinical landscape, addressing real issues and enhancing public health [2]