Long Nguyen-Hoang, Daljit S Sahota, Ritsuko K Pooh, Honglei Duan, Noppadol Chaiyasit, Akihiko Sekizawa, Steven W Shaw, Suresh Seshadri, Mahesh Choolani, Piengbulan Yapan, Wen Shan Sim, Runmei Ma, Wing Cheong Leung, So Ling Lau, Nikki May Wing Lee, Hiu Yu Hillary Leung, Tal Meshali, Hamutal Meiri, Yoram Louzoun, Liona C Poon
OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population. METHODS: This was a secondary analysis of a multicenter prospective cohort study in 10 935 participants with singleton pregnancies attending for routine pregnancy care at 11-13+6 weeks of gestation in seven regions in Asia between December 2016 and June 2018. We applied the AI+ML model for the first-trimester prediction of preterm pre-eclampsia (<37 weeks), term pre-eclampsia (≥37 weeks), and any pre-eclampsia, which was derived and tested in a cohort of pregnant participants in the UK (Model 1)...
April 26, 2024: International Journal of Gynaecology and Obstetrics