{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T20:58:30Z","timestamp":1793825910966,"version":"4.6.1"},"reference-count":37,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:00:00Z","timestamp":1768867200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:00:00Z","timestamp":1768867200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Gynecology &amp; Obste"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Artificial intelligence (AI) applications have garnered increasing interest in obstetrics and gynecology. This study aims to analyze the evolving research themes, temporal trends, and conceptual frameworks of AI applications in this field through a comprehensive bibliometric analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 815 original research articles published between 1980 and 2025 were retrieved from the Web of Science Core Collection using keywords such as \u201cartificial intelligence,\u201d \u201cmachine learning,\u201d and \u201cdeep learning\u201d within obstetrics and gynecology. Trend keyword analysis and factor analysis were conducted using the Bibliometrix package in R Studio to identify thematic clusters and research trajectories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The USA (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009194), China (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009168), and Japan (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200944) were the most prolific countries, with Harvard University as the leading institution (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200968). Key research focuses included in\u00a0vitro fertilization, breast cancer, pregnancy complications (e.g., preeclampsia, gestational diabetes mellitus), assisted reproductive technology, cervical cancer, embryo selection, and patient education. Since 2020, research emphasis has shifted toward fertility, oncological gynecology, pregnancy complications, and patient education, with notable growth in topics such as preeclampsia and breast cancer during 2023\u20132024. Factor analysis revealed six thematic clusters encompassing clinical decision support systems, reproductive technologies, oncological modeling, and perinatal risk analysis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>AI is increasingly affecting obstetrics and gynecology beyond diagnostics and treatment, extending to risk prediction, patient education, and personalized medicine. Despite its transformative potential, challenges such as algorithmic bias, data security, and ethical considerations warrant vigilant attention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ijgo.70797","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T05:20:32Z","timestamp":1768972832000},"page":"210-218","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["The role of artificial intelligence in obstetrics and gynecology: Innovations, challenges, and opportunities explored through a bibliometric analysis"],"prefix":"10.1002","volume":"174","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0659-4726","authenticated-orcid":false,"given":"Seniye Burcu","family":"Torumtay Ali\u00e7","sequence":"first","affiliation":[{"name":"Hitit University Faculty of Medicine Department of Gynecology and Obstetrics  \u00c7orum Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,20]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43032-025-01927-2"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rbmo.2025.104907"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-025-07203-0"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/01443615.2025.2527111"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00404-025-08117-0"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijgo.70264"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-025-07863-y"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-025-07796-6"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-025-07582-4"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-025-07742-6"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2017.08.007"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41390-025-03927-z"},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00405-025-09272-5"},{"key":"e_1_2_12_15_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000041319"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/deae178"},{"key":"e_1_2_12_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejogrb.2025.114039"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/deaf066"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2024.103858"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12282-024-01549-7"},{"key":"e_1_2_12_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2024.103786"},{"key":"e_1_2_12_22_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12905-024-03232-7"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.3802\/jgo.2025.36.e53"},{"key":"e_1_2_12_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.27710"},{"key":"e_1_2_12_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejogrb.2024.11.022"},{"key":"e_1_2_12_26_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-024-06941-x"},{"issue":"2","key":"e_1_2_12_27_1","first-page":"87","article-title":"Predicting preeclampsia using principal component analysis and decision tree classifier","volume":"20","author":"Musa F","year":"2024","journal-title":"Curr Womens Health Rev"},{"key":"e_1_2_12_28_1","doi-asserted-by":"publisher","DOI":"10.1097\/FM9.0000000000000236"},{"key":"e_1_2_12_29_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12905-024-03334-2"},{"key":"e_1_2_12_30_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/deae267"},{"issue":"4","key":"e_1_2_12_31_1","first-page":"337","article-title":"AI\u2010driven patient support: evaluating the effectiveness of ChatGPT\u20104 in addressing queries about ovarian cancer compared with healthcare professionals in gynecologic oncology","volume":"33","author":"Chou HH","year":"2025","journal-title":"Support Care Cancer"},{"key":"e_1_2_12_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygyno.2024.07.007"},{"key":"e_1_2_12_33_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-025-07450-1"},{"key":"e_1_2_12_34_1","doi-asserted-by":"publisher","DOI":"10.1111\/1471-0528.17843"},{"key":"e_1_2_12_35_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-025-07257-0"},{"key":"e_1_2_12_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43032-025-01847-1"},{"key":"e_1_2_12_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tjog.2025.01.004"},{"key":"e_1_2_12_38_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000031406"}],"container-title":["International Journal of Gynecology &amp; 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