Abstract
Technology advancements have given people the ability to research health topics online and do self-diagnostics. Cyberchondria is a clinical occurrence wherein recurrent online searches for medical information lead to heightened anxieties regarding one's physical well-being. The AI-powered language model ChatGPT, created by OpenAI, can produce text that sounds like human speech depending on context and previous interactions. Therefore, there is a tremendous increase in use of generative AI such as ChatGPT in assessing their own health condition which may results in increase in prevalence of Cybercondriasis. The objective of current study is understanding the precipitating, predisposing, and maintaining factors in results of using ChatGPT in self-diagnosis. The results develop a conceptual model using psychosocial model and use literature to observe its relevance.