It takes one to know one—Machine learning for identifying OBGYN abstracts written by ChatGPT von Levin, Gabriel, Meyer, Raanan, Guigue, Paul‐Adrien, Brezinov, Yoav

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Converting to Open Access in Obstetrics and Gynaecology Journal: A Bibliometric Analysis von Levin, Gabriel, Brezinov, Yoav, Guigue, Paul-Adrien, Meyer, Raanan

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Gender leadership in gynecologic oncology professional societies worldwide von Cohen, Adiel, Alter, Roie, Meyer, Raanan, Guigue, Paul‐Adrien, Levin, Gabriel

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Performance of ChatGPT in French language Parcours d'Accès Spécifique Santé test and in OBGYN von Guigue, Paul‐Adrien, Meyer, Raanan, Thivolle‐Lioux, Gaetan, Brezinov, Yoav, Levin, Gabriel

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Ethnic disparities in the incidence of gynecologic malignancies among Israeli Women of Arab and Jewish Ethnicity: a 10-year study (2010–2019) von Alter, Roie, Cohen, Adiel, Guigue, Paul-Adrien, Meyer, Raanan, Levin, Gabriel

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Chat Generative Pre-trained Transformer–written obstetrics and gynecology abstracts fool practitioners von Levin, Gabriel, Meyer, Raanan, Yasmeen, Amber, Yang, Bowen, Guigue, Paul-Adrien, Bar-noy, Tomer, Tatar, Angela, Perelshtein Brezinov, Olga, Brezinov, Yoav

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Ascites and Serum Interleukin-10 Levels as a Prognostic Tool for Ovarian Cancer Outcomes von Guigue, Paul Adrien, Brezinov, Yoav, Yasmeen, Amber, Mbarik, Maroua, Salvador, Shannon, Lau, Susie, Gotlieb, Walter Henri, Brodeur, Melica Nourmoussavi

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