An ensemble machine learning model based on magnetic resonance imaging features for diagnosing deep infiltrating endometriosis.
To address the need for more objective and reproducible preoperative diagnosis of deep infiltrating endometriosis (DIE), this study aimed to develop and validate a weighted ensemble machine learning (ML) model …
Gastrointestinal Tract Endometriosis: Clinicopathologic Features and Anatomic Distribution in an Institutional Cohort.
Endometriosis is defined by the presence of endometrial glands and stroma outside the uterine cavity. Although it typically presents within the pelvis, extragenital manifestations are well documented with gastrointestinal (GI) …
Acute and chronic complications of cesarean delivery: An update for the general radiologist.
Cesarean section has become a frequent mode of delivery in the last few decades. While generally regarded as a safe procedure, it is not free of potential complications, often requiring …
Endo-MedSAM: a promptable vision foundation model adaptation for uterus segmentation on pelvic MRI in endometriosis.
Endometriosis is a common gynecologic condition in which pelvic MRI plays an important role in diagnosis and preoperative assessment. AI-enabled automated uterus segmentation on pelvic MRI could support endometriosis care …