Table 2.

Current situation and potential solutions in various stages of cancer prevention and control.

Stage and current situation		Potential solutions
Mobilization of high-risk groups and preliminary identification of high-risk groups
	Traditional publicity methods (for example, notification of doctors and neighborhood associations, poster campaign): the regional restrictions	Use new media platforms to shape more cancer prevention and control information dissemination channels Use big data technologies to collect and analyze the massive user interaction information on new media platforms and push personalized cancer prevention knowledge according to users’ screening demands to improve the cancer prevention and control information dissemination efficiency Bring the multiple roles of new media users to enhance the interaction and sense of substitution of publicity and intervention
	Traditional screening projects: the restrictions on regulations or populations	Expand data sources Use AIa algorithm to analyze residents’ demands for cancer screening based on multisource data
Cancer risk assessment
	Collect participants’ basic information, dietary habits, lifestyle and environment, psychology and emotion, and history and tumor cancer family history, through paper-based questionnaires	Replacement of paper questionnaires with online electronic questionnaires Use machine learning and biological information mining technologies to capture, summarize, develop, and use relevant data and information Identify key tumor cancer biomarkers related to the carcinogenetic process in combination with methods of epidemiology, statistics, and computational biology

^aAI: artificial intelligence.