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Vulnerable newborn types: Analysis of population-based registries for 165 million births in 23 countries, 2000-2021.
Suárez-Idueta L, Yargawa J, Blencowe H, Bradley E, Okwaraji YB, Pingray V, Gibbons L, Gordon A, Warrilow K, Paixao ES, Falcão IR, Lisonkova S, Wen Q, Mardones F, Caulier-Cisterna R, Velebil P, Jírová J, Horváth-Puhó E, Sørensen HT, Sakkeus L, Abuladze L, Gissler M, Heidarzadeh M, Moradi-Lakeh M, Yunis KA, Al Bizri A, Karalasingam SD, Jeganathan R, Barranco A, Broeders L, van Dijk AE, Huicho L, Quezada-Pinedo HG, Cajachagua-Torres KN, Alyafei F, AlQubaisi M, Cho GJ, Kim HY, Razaz N, Söderling J, Smith LK, Kurinczuk J, Lowry E, Rowland N, Wood R, Monteath K, Pereyra I, Pravia G, Ohuma EO, Lawn JE; National Vulnerable Newborn Prevalence Collaborative Group and Vulnerable Newborn Measurement Core Group. Suárez-Idueta L, et al. Among authors: cho gj. BJOG. 2023 May 8. doi: 10.1111/1471-0528.17505. Online ahead of print. BJOG. 2023. PMID: 37156241
Applications of artificial intelligence in obstetrics.
Kim HY, Cho GJ, Kwon HS. Kim HY, et al. Among authors: cho gj. Ultrasonography. 2023 Jan;42(1):2-9. doi: 10.14366/usg.22063. Epub 2022 Jul 20. Ultrasonography. 2023. PMID: 36588179 Free PMC article.
445 results