Purpose/Significance To explore the influencing factors of patients’ willingness to adopt artificial intelligence (AI) diagnosis, and to lay a theoretical foundation for the popularization and application of artificial intelligence diagnosis technology. Method/Process Hypotheses are proposed based on technology readiness theory and perceived risk theory. A questionnaire survey is conducted among outpatients of the Second Affiliated Hospital of Guangzhou Medical University using a convenience sampling method. Reliability analysis, descriptive statistics and Pearson’s correlation test are performed using SPSS 27.0, and validity test and structural equation modeling test are performed with the help of AMOS 24.0 software. Result/Conclusion Optimism and innovativeness significantly and positively affect adoption intention, while perceived performance anxiety significantly and negatively affects adoption intention. For the highly optimistic and innovative group, technological novelty should be strengthened. For the highly uncomfortable and insecure group, performance anxiety should be alleviated through algorithm optimization and system transparency design. Meanwhile, privacy protection technology and responsibility definition mechanism should be improved to guarantee the sustainable development of technologies.