Core Insights - Ant Group's CEO Han Xinyi emphasized the importance of specialized AI models in the healthcare sector, stating that general models cannot easily replace them in the short term [1][3] - The dual characteristics of "urgent need + high frequency" in healthcare drive Ant Group's exploration of AI in this field, combining low-frequency medical actions with high-frequency health management [3] - The ultimate goal of AI in healthcare is to provide personalized, precise, and trustworthy recommendations akin to professional doctors, which general models struggle to achieve [3] Data Quality and Challenges - High-quality data is fundamental for AI healthcare applications, with costs for data labeling and training potentially exceeding hundreds of dollars per data point, requiring involvement from senior medical experts [4] - The challenge of suppressing hallucinations in AI models is crucial, as it involves balancing the reduction of errors without compromising service capabilities [5] - Ethical considerations in AI healthcare are complex, prompting Ant Group to establish a Medical Ethics Advisory Committee to explore regulations collaboratively with top medical experts [5] Market and Future Focus - Despite the healthcare market being valued at trillions, Ant Group is not rushing into commercialization but is focusing on accumulating professional data, suppressing model hallucinations, and building medical ethics [5] - Since 2023, Ant Group has accelerated its exploration of AI in healthcare, launching the AI Health Manager AQ, which has served over 140 million users and connected with more than 5,000 hospitals and nearly 1 million real doctors [5]
蚂蚁集团CEO韩歆毅外滩分享：AI不会取代医生，但可以让名医分身有术，让基层医生有好助手