{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T02:46:18Z","timestamp":1792032378511,"version":"4.4.0"},"reference-count":27,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000069","name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","doi-asserted-by":"publisher","award":["K23 5K23AR075057\u201005"],"award-info":[{"award-number":["K23 5K23AR075057\u201005"]}],"id":[{"id":"10.13039\/100000069","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acrjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arthritis Care &amp;amp; Research"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Reproductive\u2010age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information\u2010seeking.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a cross\u2010sectional survey of women ages 18 to 48 years with diverse SARDs who were enrolled in a research registry. Descriptive statistics, exploratory multivariable ordinal logistic regression, and thematic analysis were used to evaluate responses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of 270 eligible women, 190 completed the survey. Participants had an average age of 34.1 (SD 6.4) years. Most were familiar with generative AI (77.4%), and nearly 90% perceived that it might benefit health care; however, only 29% had used it to answer health questions. Eighty\u2010eight percent were willing to use a physician\u2010recommended AI tool. Interest in a hypothetical generative AI tool for SARDs management was associated with desire for personalized recommendations (odds ration [OR] 2.89, 95% confidence interval [CI] 1.25\u20136.67). Approximately one\u2010third expressed interest in using generative AI for information about medication safety during pregnancy or lactation, which was associated with younger age (OR 0.93, 95% CI 0.88\u20130.99), desire for timely access (OR 4.71, 95% CI 2.07\u201310.71), and increased information access (OR 2.56, 95% CI 1.20\u20135.43). In qualitative analysis, participants viewed generative AI as adjunctive to\u2014not a replacement for\u2014physician guidance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Participants expressed interest in using generative AI for health information\u2010seeking but preferred tools endorsed by rheumatologists. A generative AI tool codeveloped with rheumatologists and adjunctive to the patient\u2010physician relationship could address information needs in this population.<\/jats:p>\n                    <jats:p>\n                      <jats:boxed-text content-type=\"graphic\" position=\"anchor\">\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mimetype=\"image\/png\" position=\"anchor\" specific-use=\"enlarged-web-image\" xlink:href=\"graphic\/acr80168-gra-0001-m.png\">\n                          <jats:alt-text>image<\/jats:alt-text>\n                        <\/jats:graphic>\n                      <\/jats:boxed-text>\n                    <\/jats:p>\n                  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