This study examines user acceptance of large language models in healthcare across India, UK, and US (n=556), revealing critical factors for adoption.

• Perceived usefulness and ease of use significantly influence intent to use LLMs for health purposes
• Trust emerges as a crucial mediating factor in adoption decisions
• Cultural and regional differences exist in LLM acceptance for healthcare
• Transparency about capabilities and limitations increases user confidence

Why it matters: As LLMs increasingly serve as healthcare resources, understanding user acceptance factors is essential for developing trustworthy AI systems that patients will actually use.

User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study