At the 4th China International Supply Chain Promotion Expo, multiple medical giants sent the same signal: AI is connecting the long dispersed medical system, and the medical industry is entering the era of collaboration.
For a long time, the biggest challenge in the healthcare industry has been data isolation - imaging data is stored in the imaging department, testing data is stored in the laboratory department, and it is difficult for different hospitals to communicate with each other. The first thing AI needs to change is the way information flows.
A company has demonstrated a closed-loop brain pacemaker that integrates AI and brain computer interface technology, which can sense and analyze the patient's EEG activity in real time, achieving a complete closed-loop of "reading brain interpretation feedback healing", and shifting medical services from "intermittent diagnosis and treatment" to "continuous management".
At the same time, the medical industry chain is also changing from a one-way chain to a closed-loop feedback loop. Data is running through the entire lifecycle of a device from research and development, manufacturing to clinical application. Every process parameter and every clinical feedback can be fed back into the R&D system for continuous optimization and design.
Another important change is that the healthcare system is gradually evolving from a "treatment system" to a "health management system". Through AI intelligent recognition algorithms, health management has begun to move from "single item inspection" to "overall risk assessment", allowing disease risks to be continuously tracked and dynamically managed.