- Maternal Mental Health During Pregnancy and Postpartum
- Prenatal Substance Exposure Effects
- Neonatal and fetal brain pathology
- COVID-19 Impact on Reproduction
- Pregnancy and preeclampsia studies
- Maternal and Perinatal Health Interventions
- Maternal and fetal healthcare
- Gestational Diabetes Research and Management
- Gaussian Processes and Bayesian Inference
- Opioid Use Disorder Treatment
- COVID-19 and healthcare impacts
- Infant Development and Preterm Care
- Parvovirus B19 Infection Studies
- Thermal Regulation in Medicine
- Preterm Birth and Chorioamnionitis
- Diversity and Career in Medicine
- Anomaly Detection Techniques and Applications
- Iron Metabolism and Disorders
- Reproductive System and Pregnancy
- Gynecological conditions and treatments
- Homicide, Infanticide, and Child Abuse
- Ectopic Pregnancy Diagnosis and Management
- Neonatal Health and Biochemistry
- Folate and B Vitamins Research
- Non-Invasive Vital Sign Monitoring
Stony Brook School
2019-2025
Stony Brook University
2019-2025
Stony Brook Medicine
2021-2024
Stony Brook University Hospital
2019-2023
Winthrop-University Hospital
2018-2021
Akron General Medical Center
2006-2020
Cleveland Clinic
2017-2020
Kansas City University
2014
Boston University
2006
Northeast Ohio Medical University
2006
Prenatal maternal stress and anxiety, whether at times of disaster or not, are well-established risk factors for preterm birth, low birthweight, infant health problems may have long-lasting effects on the offspring.1Harville E.W. Xiong X. Buekens P. Disasters perinatal health: a systematic review.Obstet Gynecol Surv. 2010; 65: 713-728Crossref PubMed Scopus (232) Google Scholar,2Ibrahim S.M. Lobel M. Conceptualization, measurement, pregnancy-specific stress: review research using original...
Abstract Background High stress prenatally contributes to poor maternal and infant well-being. The coronavirus disease 2019 (COVID-19) pandemic has created substantial for pregnant women. Purpose To understand whether experienced by women at the beginning of was associated with a greater prevalence adverse perinatal outcomes. Methods Pregnant across USA aged ≥18 years old enrolled in prospective cohort study during onset (T1) April–May 2020. This report focuses on 1,367 participants who gave...
Abstract Objectives Pregnancies affected by opioid use disorder (OUD) face difficulties with postpartum pain control. This study aims to determine if prenatal anesthesia consultation for patients on medication (MOUD) affects maternal Methods is a retrospective cohort of pregnant diagnosed MOUD who received care and delivered at single academic institution between January 2017 July 2023. Subjects were divided into those did not. Severe (numerical rating scale 0–10) was defined as score≥7....
Sacral osteomyelitis and subsequent discitis is a rare complication after laparoscopic sacral colpopexy to repair apical vaginal prolapse.We present patient who developed Bacteroides fragilis sacrocolpopexy with synthetic monofilament mesh titanium coil fixation. The had undergone dental extraction of 3 infected teeth approximately 2 weeks before for stage IV prolapse. Computed tomography magnetic resonance imaging (MRI) confirmed along bacteremia week half the original surgery. was followed...
Introduction There is an urgent need to improve the identification of psychosocial vulnerabilities in clinical practice (eg, stress, unstable living conditions) and examine their contribution prenatal substance use, especially for legal substances such as alcohol, tobacco, recently, cannabis. Methods We conducted a retrospective chart review 1842 patients who completed PROMOTE screening instrument during first visit outpatient clinics New York State health system 6/2019–11/2020. The includes...
During labor, fetal heart rate (FHR) is monitored externally using Doppler ultrasound. This done continuously, but for various reasons (e.g., or maternal movements) the system does not record any samples varying periods of time. In many settings, it would be quite beneficial to estimate missing samples. this paper, we propose a (deep) Gaussian process-based approach estimation consecutively in FHR recordings. The method relies on similarities state space and exploiting concept attractor...
Introduction: During labor, fetal heart rate (FHR) and uterine activity (UA) can be continuously monitored using Cardiotocography (CTG). This is the most widely adopted approach for electronic monitoring in hospitals. Both FHR UA recordings are evaluated by obstetricians assessing well-being. Due to complex noisy nature of these recordings, evaluation suffers from high interobserver intraobserver variability. Machine learning a field that has seen unprecedented advances past two decades many...
The computer-aided interpretation of fetal heart rate (FHR) and uterine contraction (UC) has not been developed well enough for wide use in delivery rooms. main challenges still lie the lack unclear nonstandard labels cardiotocography (CTG) recordings, timely prediction state during monitoring. Rather than traditional supervised approaches to FHR classification, this paper demonstrates a way understand UC-dependent responses an unsupervised manner. In work, we provide complete method FHR-UC...
Low umbilical artery pH is a marker for neonatal acidosis and associated with an increased risk complications. The phase-rectified signal averaging (PRSA) features have demonstrated superior discriminatory or diagnostic ability good interpretability in many biomedical applications including fetal heart rate analysis. However, the performance of PRSA method sensitive to values selected parameters which are usually either chosen based on grid search empirically literature. In this paper, we...
During the process of childbirth, fetal distress caused by hypoxia can lead to various abnormalities. Cardiotocography (CTG), which consists continuous recording heart rate (FHR) and uterine contractions (UC), is routinely used for classifying fetuses as hypoxic or non-hypoxic. In practice, we face highly imbalanced data, where are significantly underrepresented. We propose address this problem boost ensemble learning, use distribution classification error over dataset. then iteratively...
Classification with imbalanced data is a common and challenging problem in many practical machine learning problems. Ensemble popular solution where the results from multiple base classifiers are synthesized to reduce effect of possibly skewed distribution training set. In this paper, binary based on Gaussian processes chosen as bases for inferring predictive distributions test latent variables. We apply process variable model outputs used making final decision. The tests new method both...
The coronavirus disease (COVID-19) has rapidly spread throughout the world and while pregnant women present same adverse outcome rates, they are underrepresented in clinical research. We collected data of 155 test-positive COVID-19 at Stony Brook University Hospital. Many these multivariate categorical type, where number possible outcomes grows exponentially as dimension increases. modeled within unsupervised Bayesian framework mapped them into a lower dimensional space using latent Gaussian...
Psychosocial vulnerabilities (e.g. inadequate social support, financial insecurity, stress) and substance use elevate risks for adverse perinatal outcomes maternal mental health morbidities. However, various barriers, including paucity of validated, simple usable comprehensive instruments, impede execution the recommendations to screen such in first antenatal care visit. The current study presents findings from a newly implemented self-report tool created overcome screening barriers...
INTRODUCTION: Obstetrical and Gynecological consultations are a significant component of the workflow within healthcare system. Ineffective consult-related communication can lead to poor outcomes, costly medical errors, suboptimal care. METHODS: This was cross sectional mixed quantitative/qualitative survey design evaluating physicians’ perception regarding inpatient consultation process. Physicians were asked rank services with regards quality when requesting consultation, indicate...