 The study aimed to develop and test a model for investigating the factors that drive radiation oncologists' acceptance of AI-contering technology in a Chinese context, using the unified theory of acceptance and use of technology, a taught model with added variables of perceived risk and resistance. The results showed that performance expectancy, social influence, and facilitating conditions significantly affected behavioral intention, while effort expectancy, perceived risk, and resistance bias did not. Physicians' overall perceptions of AI-assisted technology for radiation-contering were high, and technology resistance among Chinese radiation oncologists was low and not related to behavioral intention.