Table 3.

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

Stage	Current situation	Potential solutions
Clinical screening, physical examination, and confirmation	Clinicians interpret screening results The shortage of doctors or screening technologies in some areas	Help clinicians obtain image data and section information comprehensively and assist clinicians to interpret screening results with the help of the powerful biological data analysis ability and the deep machine learning ability of AIa-assisted diagnosis technologies Use the clinical auxiliary cancer decision system built based on AI and other technologies to assist doctors in making a diagnosis and decision on the people who tested positive in the clinical screening of screening projects
Cancer registration	Population-based cancer registration and hospital-based cancer registration	Rely on big data mining, AI, and information capture technologies to extract tumor cancer diagnosis, treatment, and other medical record information, as well as follow-up visit and risk factor information, in time and build a monitoring database with more accurate and detailed risk factors, incidence, and death information Integrating and complementing population-based and hospital-based cancer registration
Follow-up visits	Absence of a follow-up management system for screening projects	Build a follow-up visit management system for cancer prevention and control based on internet and AI-based machine learning technologies to realize the information interconnection with hospitals’ diagnosis and treatment systems and tumor cancer registration systems

^aAI: artificial intelligence.