Artificial intelligence for instance segmentation of MRI: advancing efficiency and safety in laparoscopic myomectomy of broad ligament fibroids

This multidisciplinary AI system enhances surgical precision through millimeter-level anatomical delineation, demonstrating transformative potential for complex gynecologic oncology procedures. Clinical adoption of this approach could reduce intraoperative blood loss and iatrogenic complications, thereby promoting postoperative recovery.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-04-08
DOI
https://doi.org/10.3389/fonc.2025.1549803
Citations
3
Primary Topic
Uterine Myomas and Treatments
Type
article
Field-Weighted Citation Impact
6.17
Controls
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article

Artificial intelligence for instance segmentation of MRI: advancing efficiency and safety in laparoscopic myomectomy of broad ligament fibroids

Haixia Pan, Wenpei Bai, Minghuang Chen, Bin Li et al.
3 citations
Frontiers in Oncology
Uterine Myomas and Treatments
6.17
article

Artificial intelligence for instance segmentation of MRI: advancing efficiency and safety in laparoscopic myomectomy of broad ligament fibroids

Haixia Pan, Wenpei Bai, Minghuang Chen, Bin Li, Feiran Liu
article en
3 citations

Abstract

This multidisciplinary AI system enhances surgical precision through millimeter-level anatomical delineation, demonstrating transformative potential for complex gynecologic oncology procedures. Clinical adoption of this approach could reduce intraoperative blood loss and iatrogenic complications, thereby promoting postoperative recovery.

Frontiers in OncologyVol. 15
Capital Medical University (CN), Beijing Shijitan Hospital (CN), Beihang University (CN)
Openalex Percentile: Top 5%
Uterine Myomas and Treatments
6.17
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