<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Latt PM</submitter><funding>National Health and Medical Research Council</funding><pagination>1788</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12080182</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(1)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Artificial Intelligence (AI) chatbots could potentially provide information on sensitive topics, including sexual health, to the public. However, their performance compared to nurses and across different AI chatbots, particularly in the field of sexual health, remains understudied. This study evaluated the performance of three AI chatbots - two prompt-tuned (Alice and Azure) and one standard chatbot (ChatGPT by OpenAI) - in providing sexual health information on questions that experienced sexual health nurses could correctly answer.&lt;h4>Methods&lt;/h4>We analysed 195 anonymised sexual health questions received by the Melbourne Sexual Health Centre phone line. A panel of experts in a blinded order using a consensus-based approach evaluated responses to these questions from </pubmed_abstract><journal>BMC public health</journal><pubmed_title>Evaluation of artificial intelligence (AI) chatbots for providing sexual health information: a consensus study using real-world clinical queries.</pubmed_title><pmcid>PMC12080182</pmcid><funding_grant_id>GNT1172873</funding_grant_id><funding_grant_id>GNT1193955</funding_grant_id><funding_grant_id>GNT1172900</funding_grant_id><pubmed_authors>Dobinson S</pubmed_authors><pubmed_authors>Fortune R</pubmed_authors><pubmed_authors>Randall C</pubmed_authors><pubmed_authors>Zhang L</pubmed_authors><pubmed_authors>Lee D</pubmed_authors><pubmed_authors>King AJ</pubmed_authors><pubmed_authors>Rahman R</pubmed_authors><pubmed_authors>Bradshaw CS</pubmed_authors><pubmed_authors>Ong JJ</pubmed_authors><pubmed_authors>Chow EPF</pubmed_authors><pubmed_authors>Deneen M</pubmed_authors><pubmed_authors>Htaik K</pubmed_authors><pubmed_authors>Fairley CK</pubmed_authors><pubmed_authors>Aung ET</pubmed_authors><pubmed_authors>Soe NN</pubmed_authors><pubmed_authors>Latt PM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluation of artificial intelligence (AI) chatbots for providing sexual health information: a consensus study using real-world clinical queries.</name><description>&lt;h4>Introduction&lt;/h4>Artificial Intelligence (AI) chatbots could potentially provide information on sensitive topics, including sexual health, to the public. However, their performance compared to nurses and across different AI chatbots, particularly in the field of sexual health, remains understudied. This study evaluated the performance of three AI chatbots - two prompt-tuned (Alice and Azure) and one standard chatbot (ChatGPT by OpenAI) - in providing sexual health information on questions that experienced sexual health nurses could correctly answer.&lt;h4>Methods&lt;/h4>We analysed 195 anonymised sexual health questions received by the Melbourne Sexual Health Centre phone line. A panel of experts in a blinded order using a consensus-based approach evaluated responses to these questions from </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 May</publication><modification>2026-06-06T16:43:51.719Z</modification><creation>2026-06-02T03:11:36.067Z</creation></dates><accession>S-EPMC12080182</accession><cross_references><pubmed>40375254</pubmed><doi>10.1186/s12889-025-22933-8</doi></cross_references></HashMap>