Students Use of Generative AI Models for Health Information Seeking: Lessons from a Developing Country in Africa

This study investigated students’ use of generative artificial intelligence (AI) models for health information seeking in Nigeria. A descriptive cross-sectional survey design was adopted. Data were collected through an online questionnaire administered to students in selected universities across the six geopolitical zones of Nigeria. A total of 308 valid responses were analyzed using descriptive and inferential statistics. The findings revealed that ChatGPT, DeepSeek, and Claude were the most widely used generative AI models for health information seeking. Students frequently used AI tools for obtaining immediate health information, understanding diseases and symptoms, supporting academic research, and seeking mental health and wellness information. Convenience, ease of use, quick access to information, and free availability significantly influenced usage. Although respondents moderately trusted AI-generated health information, they emphasized the need to verify such information with healthcare professionals because of concerns about misinformation, contradictory responses, and privacy risks. The study further revealed that demographic variables had no significant influence on students’ use of generative AI models. The study concluded that generative AI models have become important health information tools among students despite associated credibility and technological challenges. The study recommended AI literacy programs, information verification training, ethical AI policies, and improved internet infrastructure in Nigerian universities.