Emre Kar

ORCID: 0000-0002-5562-9258 · 6 papers in corpus
meta-analysis 2026
Artificial Intelligence-Based Ultrasound Radiomics for Noninvasive Endometriosis Diagnosis: Systematic Review and Meta-Analysis
·doi:10.1097/aog.0000000000006211.43

INTRODUCTION: Delays of nearly a decade are common in endometriosis diagnosis, leaving women with unmanaged pain, impaired fertility, and repeated healthcare visits. Although diagnostic imaging has advanced, confirmation still requires inva…

observational 2026
Vaginal Natural Orifice Transluminal Endoscopic Surgery Versus Laparoscopic Tubal Ligation for Interval Sterilization: A Retrospective Cohort Study
The journal of obstetrics and gynaecology research ·doi:10.1111/jog.70423

BACKGROUND: To compare the transvaginal natural orifice transluminal endoscopic surgery (vNOTES) approach versus conventional laparoscopy in bilateral tubal ligation for interval sterilization regarding perioperative outcomes, postoperative…

review 2024
11127 Natural Orifice Specimen Extraction as a Promising Alternative in Bowel Endometriosis: A Systematic Review and Meta-Analysis
·doi:10.1016/j.jmig.2024.09.703
meta-analysis 2024
Natural Orifice Specimen Extraction as a Promising Alternative for Minilaparotomy in Bowel Resection Due to Endometriosis: A Systematic Review and Meta-Analysis
Journal of Minimally Invasive Gynecology ·doi:10.1016/j.jmig.2024.04.017

OBJECTIVE: This study focuses on evaluating the effectiveness, safety and efficacy of 2 surgical tissue extraction methods for treating bowel endometriosis: natural orifice specimen extraction (NOSE) and minilaparotomy. DATA SOURCES: A sys…

review 2024
Understanding AI's Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review
JMIR AI ·doi:10.2196/64593

BACKGROUND: Endometriosis is a chronic gynecological condition that affects a significant portion of women of reproductive age, leading to debilitating symptoms such as chronic pelvic pain and infertility. Despite advancements in diagnosis …

meta-analysis 2024
Understanding AI’s Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review (Preprint)
·doi:10.2196/preprints.64593

BACKGROUND Endometriosis is a chronic gynecological condition that affects a significant portion of women of reproductive age, leading to debilitating symptoms such as chronic pelvic pain and infertility. Despite advancements in diagnosis …