Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study
The CNN based on the proportional hazard approach accurately assesses fertility postoperatively. The quantifiable visualization panel could assist in intrauterine pathologies assessment, optimize treatment strategies, and achieve individualized and cost-efficient practices.
Authors
- Hua Duan (ORCID: https://orcid.org/0000-0002-9428-7561)
- Hui Chen (ORCID: https://orcid.org/0000-0002-0048-0193)
- Bohan Li (ORCID: https://orcid.org/0000-0003-2952-146X)
Institutions
- Capital Medical University (CN)
- Beijing Obstetrics and Gynecology Hospital (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1080/07853890.2025.2478473
- Citations
- 2
- Primary Topic
- Gynecological conditions and treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.11