en Obstetrics and Gynecology Obstetrics and Gynecology پژوهشي Original Research <div style="text-align: justify;"><span style="font-size:11pt"><span style="line-height:12.0pt"><span style="text-autospace:none"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif">Background:</span></span></b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif"> Menstrual hygiene management (MHM) is a critical public health issue hindered by misconceptions about menstrual hygiene products (MHPs), leading to harmful practices and reduced health outcomes. Artificial intelligence (AI) tools like ChatGPT offer potential for scalable health education but require evaluation for reliability and cultural sensitivity. The aim of study was to assess ChatGPT&rsquo;s effectiveness in addressing MHP misconceptions through structured dialogues, focusing on accuracy, comprehensiveness, and cultural sensitivity.</span></span></span></span></span></span><br /> <span style="font-size:11pt"><span style="line-height:12.0pt"><span style="text-autospace:none"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif">Methods:</span></span></b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif"> Fifteen queries on MHPs (e.g., tampon safety, menstrual cup efficacy) were developed from literature reviews and public forums, validated by MHM experts. Dialogues with ChatGPT (version 4o mini, OpenAI) were conducted from June 1&ndash;15, 2025, with each query posed thrice. Responses were analyzed for accuracy, comprehensiveness, and cultural sensitivity using a 1&ndash;5 scale and qualitative content analysis, with inter-rater reliability (Cohen&rsquo;s kappa &ge; 0.80).</span></span></span></span></span></span><br /> <span style="font-size:11pt"><span style="line-height:12.0pt"><span style="text-autospace:none"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif">Results:</span></span></b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif"> ChatGPT provided accurate (mean = 4.3, SD = 0.5) and comprehensive (mean = 4.5, SD = 0.4) responses for 80% and 90% of queries, respectively, but cultural sensitivity was lower (mean = 3.7, SD = 0.8), often overlooking infrastructure barriers (e.g., clean water access). Empathetic tone was strong (mean = 4.6, SD = 0.3). No responses included citations, raising reliability concerns.</span></span></span></span></span></span><br /> <span style="font-size:11pt"><span style="line-height:12.0pt"><span style="text-autospace:none"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif">Conclusion:</span></span></b><span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif"> ChatGPT shows promise as a scalable MHM education tool but requires improved scientific validation and cultural sensitivity. Collaborative integration of evidence-based data and localized insights is essential to enhance its utility in public health education.</span></span></span></span></span></span></div> Artificial Intelligence, Chatbots, Cultural Competency, Health Education, Menstruation, Menstrual Hygiene Products 37 42 http://caspjrm.ir/browse.php?a_code=A-12-158-2&slc_lang=en&sid=1 Shweta T Kanyal kanyalshweta13@gmail.com 10031947532846002534 0009-0003-2565-4190 Yes Lokmanya Tilak Municipal Medical College and Sion Hospital, Mumbai, Maharashtra, India