Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 19 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Machine learning-based prediction of clinical pregnancy in infertile women undergoing in vitro fertilization

Related

  1. Multimodal ensemble machine learning pipeline for oocyte fertilization prediction using first polar body morphology and clinical factors
    Krittapat Onthuam, Tinapat Limsila, Thanakorn Sappakit +3
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textEpidemiology & public healthCrossref
  2. Correlation between coagulation abnormalities and in vitro fertilization outcomes in infertile patients with endometriosis: a retrospective cohort study
    Xiufang Du, Wenjing Hu, Changna Fu
    Frontiers in MedicinePeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsDOAJEurope PMC
  3. PLATELET-RICH PLASMA FOR ENDOMETRIAL MODULATION IN INFERTILE WOMEN UNDERGOING ASSISTED REPRODUCTIVE TECHNOLOGY: A SCOPING REVIEW
    Nicole Guimarães KIENTECA, Júlia Grossi PAIVA, Andrezza Do Espirito Santo CUCINELLI
    Hematology, Transfusion and Cell TherapyPeer-reviewedCC BYFull textEndocrinology & metabolismDOAJ
  4. Association of serum uric acid during pre-pregnancy with adverse pregnancy outcomes among women conceived by in-vitro fertilization: a retrospective cohort study.
    Kexin Lan, Shaohua Yin, Yang Wang +5
    Reproductive healthPeer-reviewedCC BY-NC-NDFull textObstetrics, gynaecology & paediatricsEurope PMCDOAJ
  5. Development and Preliminary Validation of the SHUDE Scoring System for Chronic Endometritis in Women With Previous Reproductive Failure Undergoing In Vitro Fertilization Treatment.
    Shuchi Jain, Deepti Shrivastava, Sunita Vagha
    CureusPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsEurope PMC
BibTeX
@article{zhang2026machine,
  title = {{Machine learning-based prediction of clinical pregnancy in infertile women undergoing in vitro fertilization}},
  author = {Lin Zhang and Jinghe Cao and Qianqian Qin and Min Jiao},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75209-5},
  url = {https://www.nature.com/articles/s41598-026-75209-5},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Machine learning-based prediction of clinical pregnancy in infertile women undergoing in vitro fertilization
AU  - Lin Zhang
AU  - Jinghe Cao
AU  - Qianqian Qin
AU  - Min Jiao
PY  - 2026
DA  - 2026/10/12
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75209-5
UR  - https://www.nature.com/articles/s41598-026-75209-5
SN  - 2045-2322
ER  -