Abstract
Due to factors such as medical resources, public awareness, funding for general screening, or optimized screening models, community-based screening is far from meeting the demand. Artificial intelligence (AI) can replace some of the medical work and combine it with the "Internet+" model to transfer medical resources to improve accessibility and availability. However, the application of AI technology to community-based screening still faces many challenges, such as most AI products cannot be directly applied to community-based screening, the inability to integrate multimodal information such as medical history, symptoms, and images, and the lack of relevant regulations and health policies for productization and implementation. Therefore, we suggest that the relevant departments take actions: (1) to build standardized big data sets, unlock data barriers, and accelerate the development and application of AI technology; (2) to train "AI+" medical staffs as soon as possible; (3) to establish relevant laws and regulations; (4) to establish relevant R&D plans and quality standards and regulatory frameworks for AI products; (5) to encourage more investment in medical AI infrastructure in the central and western regions and remote and poor areas.
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