This study explores the factors influencing trust and the intention to use healthcare voice AI assistants (HVAs). The research is motivated by the growing adoption of HVAs in healthcare, which offer convenient access to various healthcare services. The study uses a survey of 300 voice assistant users to investigate the effects of functional, personal, and risk factors on trust in HVAs. The results indicate that trust in HVAs is significantly influenced by functional factors such as usefulness, content credibility, and quality of service relative to healthcare professionals, as well as security and privacy risks. Personal factors, including stance in technology, familiarity, technology attachment, and social influence, also play a role. The study also finds that trust in HVAs positively predicts users' intention to use them. The findings provide insights for designing and developing HVAs to enhance user trust and encourage adoption.This study explores the factors influencing trust and the intention to use healthcare voice AI assistants (HVAs). The research is motivated by the growing adoption of HVAs in healthcare, which offer convenient access to various healthcare services. The study uses a survey of 300 voice assistant users to investigate the effects of functional, personal, and risk factors on trust in HVAs. The results indicate that trust in HVAs is significantly influenced by functional factors such as usefulness, content credibility, and quality of service relative to healthcare professionals, as well as security and privacy risks. Personal factors, including stance in technology, familiarity, technology attachment, and social influence, also play a role. The study also finds that trust in HVAs positively predicts users' intention to use them. The findings provide insights for designing and developing HVAs to enhance user trust and encourage adoption.