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AI provides a transformative approach to diagnosing and monitoring FGR by leveraging advanced machine\u2010learning algorithms and extensive data analysis. Automated fetal biometry using AI has demonstrated significant precision in identifying fetal structures, while predictive models analyzing Doppler indices and maternal characteristics improve the reliability of adverse outcome predictions. AI has enabled early detection and stratification of FGR risk, facilitating targeted monitoring strategies and individualized delivery plans, potentially improving neonatal outcomes. For instance, studies have shown enhancements in detecting placental insufficiency\u2010related abnormalities when AI tools are integrated with traditional ultrasound techniques. This review also explores challenges such as algorithm bias, ethical considerations, and data standardization, underscoring the importance of global accessibility and regulatory frameworks to ensure equitable implementation. The potential of AI to revolutionize prenatal care highlights the urgent need for further clinical validation and interdisciplinary collaboration.<\/jats:p>","DOI":"10.1002\/jcu.23918","type":"journal-article","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T00:09:14Z","timestamp":1738195754000},"page":"825-831","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Artificial Intelligence in Fetal Growth Restriction Management: A Narrative Review"],"prefix":"10.1002","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7370-5122","authenticated-orcid":false,"given":"Ugo Maria","family":"Pierucci","sequence":"first","affiliation":[{"name":"Department of Pediatric Surgery \u201cV. 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Buzzi\u201d Children's Hospital  Milan Italy"},{"name":"Department of Biomedical and Clinical Science University of Milano  Milan Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3529-1437","authenticated-orcid":false,"given":"Irene","family":"Paraboschi","sequence":"additional","affiliation":[{"name":"Department of Biomedical and Clinical Science University of Milano  Milan Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8620-7293","authenticated-orcid":false,"given":"Heron","family":"Werner","sequence":"additional","affiliation":[{"name":"Biodesign Lab Dasa\/PUC\u2010Rio Pontificia Universidade Catolica Rio de Janeiro  Rio de Janeiro Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3642-5858","authenticated-orcid":false,"given":"Rodrigo","family":"Ruano","sequence":"additional","affiliation":[{"name":"Division of Maternal\u2010Fetal Medicine, Department of Maternal and Fetal Medicine, Obstetrics and Gynecology University of Miami, Miller School of Medicine  Miami Florida USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,1,29]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2021.11.1357"},{"key":"e_1_2_14_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm13133753"},{"key":"e_1_2_14_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00404-023-06963-4"},{"key":"e_1_2_14_5_1","doi-asserted-by":"publisher","DOI":"10.1515\/jpm-2018-0185"},{"key":"e_1_2_14_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajogmf.2024.101422"},{"key":"e_1_2_14_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.earlhumdev.2009.09.004"},{"issue":"34","key":"e_1_2_14_8_1","first-page":"e1","article-title":"The Growth Restriction Intervention Trial: Long\u2010Term Outcomes in a Randomized Trial of Timing of Delivery in Fetal Growth Restriction","volume":"204","author":"Walker D.\u2010M.","year":"2011","journal-title":"American Journal of Obstetrics and Gynecology"},{"issue":"344","key":"e_1_2_14_9_1","first-page":"e1","article-title":"Neonatal Morbidity After Induction vs Expectant Monitoring in Intrauterine Growth Restriction at Term: A Subanalysis of the DIGITAT RCT","volume":"206","author":"Boers K. 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