Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols

被引：0

作者：

Na Kong ^{[1
]}

Yu Xia ^{[2
]}

Zhilong Wang ^{[3
]}

Hui Zhang ^{[5
]}

Liyan Duan ^{[2
]}

Yingchun Zhu ^{[3
]}

Chenyang Huang ^{[2
]}

Guijun Yan ^{[3
]}

Jie Mei ^{[3
]}

Wujun Li ^{[2
]}

Haixiang Sun ^{[3
]}

机构：

[1] Nanjing University of Chinese Medicine,Nanjing Drum Tower Hospital, Drum Tower Clinical Medical College

[2] Nanjing University,Center for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School

[3] Nanjing University,Center for Molecular Reproductive Medicine

[4] National Institute of Healthcare Data Science at Nanjing University,National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology

[5] Nanjing University,Center for Medical Big Data, Nanjing Drum Tower Hospital, Affiliated Drum Tower Hospital

[6] Medical School of Nanjing University,State Key Laboratory of Reproductive Medicine and China International Joint Research Center On Environment and Human Health, Center for Global Health, School of Public Health

[7] Nanjing Medical University,Department of Reproductive Medicine Center, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology

[8] Nanjing University,undefined

来源：

Journal of Translational Medicine | / 23卷 / 1期

关键词：

Deep learning; Controlled ovarian stimulation; FSH dosing; Personalized medicine; Artificial intelligence;

D O I：

10.1186/s12967-025-06562-8

中图分类号：

学科分类号：

摘要：

引用