Group 1 - The core viewpoint of the article is that the recently issued policy document on "Promoting and Regulating the Application Development of 'Artificial Intelligence + Healthcare'" serves as a roadmap for the AI healthcare industry, outlining eight key application areas and setting clear development goals for 2027 and 2030 [1][2] - The policy marks a shift from encouraging exploration to implementation, providing clear directions and timelines for the AI healthcare sector [1][2] - The document emphasizes the establishment of high-quality data sets and trustworthy data spaces, which will enhance the value of data assets and address the "data island" issue that has hindered AI healthcare development [1][2] Group 2 - The policy prioritizes "grassroots applications," reflecting the current focus on improving quality and efficiency while balancing resource distribution [2] - AI-enabled solutions for grassroots healthcare institutions are expected to benefit from the policy, particularly companies providing integrated diagnostic solutions that enhance the capabilities of general practitioners [2] - Companies specializing in cloud-based SaaS services for AI healthcare are likely to thrive, as grassroots hospitals may find it challenging to afford expensive local deployments [2] - The policy also favors enterprises involved in the intelligentization of diagnostic equipment, such as portable and smart ultrasound and ECG devices, which have significant market potential in grassroots settings [2]