A5001878517- Maternal and Perinatal Health Interventions
- Maternal and fetal healthcare
- Ovarian cancer diagnosis and treatment
- Ectopic Pregnancy Diagnosis and Management
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
- Pelvic floor disorders treatments
- Assisted Reproductive Technology and Twin Pregnancy
- Endometriosis Research and Treatment
- Pregnancy and preeclampsia studies
- Pregnancy-related medical research
- Gestational Trophoblastic Disease Studies
- Pelvic and Acetabular Injuries
- Hernia repair and management
- Gestational Diabetes Research and Management
- Artificial Intelligence in Healthcare and Education
- Diversity and Career in Medicine
- Cervical Cancer and HPV Research
- Preterm Birth and Chorioamnionitis
- Bariatric Surgery and Outcomes
- Global Maternal and Child Health
- Intestinal and Peritoneal Adhesions
- Cardiac, Anesthesia and Surgical Outcomes
- Neonatal Respiratory Health Research
- Radiomics and Machine Learning in Medical Imaging
Jewish General Hospital
2022-2025
McGill University
2022-2025
Hebrew University of Jerusalem
2020-2025
Hadassah Medical Center
2016-2025
Royal Victoria Hospital
2024-2025
McGill University Health Centre
2025
Hadassah Academic College
2016-2024
Community Link
2019-2021
Sheba Medical Center
2020-2021
Washington University in St. Louis
2021
Previous studies comparing the coronavirus disease 2019 pandemic period with prepandemic periods reported either no change or a decrease in extremely preterm birth (PTB) rates during pandemic.1Hedermann G. Hedley P.L. Bækvad-Hansen M. et al.Danish premature COVID-19 lockdown.Arch Dis Child Fetal Neonatal Ed. 2020; ([Epub ahead of print])Crossref PubMed Scopus (190) Google Scholar,2Khalil A. von Dadelszen P. Draycott T. Ugwumadu O'Brien Magee L. Change incidence stillbirth and delivery...
ObjectiveTo identify predictive clinico-pathologic factors for concurrent endometrial carcinoma (EC) among patients with intraepithelial neoplasia (EIN) using machine learning.Methodsa retrospective analysis of 160 a biopsy proven EIN. We analyzed the performance multiple learning models (n = 48) different parameters to predict diagnosis postoperative EC. The prediction variables included: parity, gestations, sampling method, thickness, age, body mass index, diabetes, hypertension, serum...
Abstract Objectives To use machine learning to optimize the detection of obstetrics and gynecology (OBGYN) Chat Generative Pre‐trained Transformer (ChatGPT) ‐written abstracts all OBGYN journals. Methods We used Web Science identify original articles published in journals 2022. Seventy‐five were randomly selected. For each, we prompted ChatGPT write an abstract based on title results abstracts. Each was tested by Grammarly software reports inserted into a database. Machine‐learning modes...
Abstract Purpose Pregnancies complicated by placenta accreta spectrum (PAS) are associated with severe maternal morbidities. The aim of this study is to describe the neonatal outcomes in pregnancies PAS compared not PAS. Methods A retrospective cohort conducted at a single tertiary center between 03/2011 and 01/2022, comparing women who underwent cesarean delivery (CD) matched control group without CD. We evaluated following adverse outcomes: umbilical artery pH < 7.0, base excess ≤ − 12,...
To determine if reviewer experience impacts the ability to discriminate between human-written and ChatGPT-written abstracts. Thirty reviewers (10 seniors, 10 juniors, residents) were asked differentiate (fabricated) For study, gynecologic oncology abstracts fabricated by authors. each abstract we generated a ChatGPT matching using same title results of human A web-based questionnaire was used gather demographic data record reviewers' evaluation 20 Comparative statistics multivariable...
Abstract Objectives To evaluate the performance of ChatGPT in a French medical school entrance examination. Methods A cross‐sectional study using consecutive sample text‐based multiple‐choice practice questions for Parcours d'Accès Spécifique Santé. answered French. We compared obstetrics and gynecology (OBGYN) whole test. Results Overall, 885 were evaluated. The mean test score was 34.0% (306; maximal 900). 33.0% (292 correct answers, questions). lower biostatistics (13.3% ± 19.7%) than...
We aimed to study the association between obesity and survival in ovarian cancer (OC) patients, accounting for confounders as disease stage, histology, comorbidities.
Abstract Purpose To study characteristics and identify factors associated with full manuscript publication of oral abstracts presented at gynecologic surgery societies’ annual meetings. Study design We reviewed all four major meetings in 2018. Oral subsequently published as peer-reviewed manuscripts were compared to those that not published. Descriptive statistical analysis multivariable regression analyses conducted publication. Results A total 396 presentation from the nationally...
Black women and other minorities have higher age adjusted incidence risk for cervical endometrial cancer than White women. However, the extent of racial ethnic disparities in clinical trial enrollment among studies performed mainly North America Europe gynecologic malignancy is unknown. This study analyzed rates by race/ethnicity trials that led to Food Drug Administration (FDA) approvals gynecological cancers from 2010 2024. cross-sectional examined registered with ClinicalTrials.gov...
Abstract Objective The objective of this paper is to study the association between obesity and tumor recurrence in patients with vulvar cancer. Methods This a retrospective including cancer from 2003 2022. Our primary outcome was progression‐free survival (PFS) stratified by status obesity, defined as body mass index (BMI) >30.0 kg/m 2 . Results Overall, 48 were included study, 32 (66.7%) diagnosed at early stages (I–II). median BMI 28.0 [interquartile range 24.9–32.3 ]. There 13 obese...