Abstract
BACKGROUND Cervical cancer (CC) mortality remains a global health problem, and women's awareness of the need for regular CC screening is insufficient. In the era of rapid development of artificial intelligence (AI), large language models (LLMs) such as ChatGPT may become an important source of information about health, including women's health and screening. The aim of the study was to assess the quality of ChatGPT-generated medical information on cervical cancer screening (MICC_GPT). MATERIAL AND METHODS A total of 196 MICC_GPT items were assessed. Objective readability was assessed on a scale of 1 to 7 using Jasnopis.pl programming. Subjective assessment of the MICC-GPT on a scale of 1 to 5 was made by 4 independent expert reviewers. RESULTS The average difficulty level of the MICC_GPT was 5.314, and full understanding of the MICC_GPT requires the target audience to have completed at least 15 years of formal education. In the opinion of the expert reviewers, most of the MICC_GPTs (71%) met the criteria of relevance, accuracy, completeness, clarity, coherence, and appropriateness. CONCLUSIONS ChatGPT-generated information in Polish on the topic of cervical cancer screening is accurate, detailed, comprehensive, clear, coherent and appropriate for the target audience, confirming the great potential of ChatGPT in health education, as well as promotion of screening tests and cervical cancer prophylaxis. To reduce the level of difficulty and increase the accessibility of the MICC_GPT for less educated end-users, the MICC_GPT needs to be simplified, especially in terms of specialized medical terminology.