AI Solutions in the Tide of Phasing Out Old Drivers: Wu Han Discusses How Zhongkang (02361) Anchors the New Cycle in the Health Industry

The AI-driven transformation of the healthcare industry seems to be facing a structural contradiction: while numerous single-point tools are emerging, they struggle to penetrate the complexity of industry scenarios. When general large models enter the medical field, most products remain at fragmented applications such as auxiliary diagnosis and intelligent customer service, lacking in-depth adaptation across the entire chain from pharmaceutical distribution, business decision-making, to terminal services. Data silos, fragmented scenarios, and high compliance thresholds have kept AI's implementation in the industry from translating enthusiasm into practice.