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Application of Generative AI to Enhance Obstetrics and Gynecology Research.

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Title: Application of Generative AI to Enhance Obstetrics and Gynecology Research.
Authors: Kawakita T; Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia., Wong MS; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.; Division of Informatics, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California., Gibson KS; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The MetroHealth System, Case Western Reserve University, Cleveland, Ohio., Gupta M; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.; Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts., Gimovsky AC; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Warren Alpert School of Brown University, Women & Infants Hospital of Rhode Island, Providence, Rhode Island., Moussa HN; Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Cincinnati, Cincinnati, Ohio.; Kettering Health Maternal Fetal Medicine, Kettering, Ohio., Hye HJ; Department of Obstetrics and Gynecology, NYU Grossman Long Island School of Medicine, Mineola, New York.; Department of Health Informatics, NYU Langone Health, New York, New York.
Corporate Authors: Society of Maternal-Fetal Medicine Clinical Informatics Committee
Source: American journal of perinatology [Am J Perinatol] 2025 Dec; Vol. 42 (16), pp. 2094-2103. Date of Electronic Publication: 2025 May 20.
Publication Type: Journal Article; Review
Journal Info: Publisher: Thieme-Stratton Country of Publication: United States NLM ID: 8405212 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-8785 (Electronic) Linking ISSN: 07351631 NLM ISO Abbreviation: Am J Perinatol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Kawakita+T%22">Kawakita T</searchLink>; Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.<br /><searchLink fieldCode="AU" term="%22Wong+MS%22">Wong MS</searchLink>; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.; Division of Informatics, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California.<br /><searchLink fieldCode="AU" term="%22Gibson+KS%22">Gibson KS</searchLink>; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The MetroHealth System, Case Western Reserve University, Cleveland, Ohio.<br /><searchLink fieldCode="AU" term="%22Gupta+M%22">Gupta M</searchLink>; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.; Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Gimovsky+AC%22">Gimovsky AC</searchLink>; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Warren Alpert School of Brown University, Women & Infants Hospital of Rhode Island, Providence, Rhode Island.<br /><searchLink fieldCode="AU" term="%22Moussa+HN%22">Moussa HN</searchLink>; Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Cincinnati, Cincinnati, Ohio.; Kettering Health Maternal Fetal Medicine, Kettering, Ohio.<br /><searchLink fieldCode="AU" term="%22Hye+HJ%22">Hye HJ</searchLink>; Department of Obstetrics and Gynecology, NYU Grossman Long Island School of Medicine, Mineola, New York.; Department of Health Informatics, NYU Langone Health, New York, New York.
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              Text: 2025 Dec
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