A new accurate model to assess intrauterine insemination success based on clinical parameters: Optimizing fertility treatment
By enhancing the accuracy of IUI success predictions, this model has the potential to optimize the allocation of healthcare resources, alleviate patient stress and disappointment, and ultimately enhance patient outcomes within the field of infertility treatment.
Authors
- Gustavo Yano Callado (ORCID: https://orcid.org/0000-0001-6694-6569)
- Dani Ejzenberg (ORCID: https://orcid.org/0000-0002-7471-1230)
- Pedro Augusto Araújo Monteleone (ORCID: https://orcid.org/0000-0003-0570-5969)
- Tiago José de Oliveira Gomes
- Edmund Chada Baracat (ORCID: https://orcid.org/0000-0003-0111-9030)
- José Soares (ORCID: https://orcid.org/0000-0003-3757-9901)
- Giovanna Santos Cavalcanti
Institutions
- Hospital Israelita Albert Einstein (BR)
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
Publication Details
- Journal
- International Journal of Gynecology & Obstetrics
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1002/ijgo.70104
- Citations
- 1
- Primary Topic
- Assisted Reproductive Technology and Twin Pregnancy
- Type
- article
- Field-Weighted Citation Impact
- 3.49