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Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure
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| Published in: | Reproductive Medicine and Biology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030191175598083 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Reproductive Medicine and Biology |
| description | |
| discipline_display | Life Sciences & Biology |
| discipline_facet | Life Sciences & Biology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:28966 |
| institution | FRELIP |
| journal_source_facet | Reproductive Medicine and Biology |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure — — — — — — Genetics Biological Sciences Life Sciences & Biology |
| sub_discipline_display | Biological Sciences |
| sub_discipline_facet | Biological Sciences |
| subject_display | — — — — — — Genetics Biological Sciences Life Sciences & Biology — — — — — — Genetics Biological Sciences Life Sciences & Biology |
| subject_facet | — — — — — — Genetics Biological Sciences Life Sciences & Biology |
| title | Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure |
| title_auth | Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure |
| title_full | Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure |
| title_fullStr | Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure |
| title_full_unstemmed | Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure |
| title_short | Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure |
| title_sort | utilizing artificial intelligence in cine magnetic resonance imaging analysis: a promising approach for assessment of uterine factors and prediction of pregnancy outcomes in patients with recurrent implantation failure |
| topic | — — — — — — Genetics Biological Sciences Life Sciences & Biology |
| url | https://onlinelibrary.wiley.com/doi/10.1002/rmb2.70028?af=R |