AIMC Topic: Pregnancy

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Derivation and external validation of risk stratification models for severe maternal morbidity using prenatal encounter diagnosis codes.

Journal of perinatology : official journal of the California Perinatal Association May 19, 2021
OBJECTIVE: We sought to develop a prediction model using prenatal diagnosis codes that could help clinicians objectively stratify a women's risk for delivery-related morbidity.
Prenatal Diagnosis Machine Learning Prospective Studies Electronic Health Records Pregnancy Female Risk Assessment Bayes Theorem Humans
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Evaluation of artificial intelligence using time-lapse images of IVF embryos to predict live birth.

Reproductive biomedicine online May 15, 2021
RESEARCH QUESTION: Can artificial intelligence (AI) improve the prediction of live births based on embryo images?
Embryo, Mammalian Live Birth Time-Lapse Imaging Cohort Studies Embryo Transfer Fertilization in Vitro Humans Artificial Intelligence Retrospective Studies Pregnancy Female Adult
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Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid.

American journal of reproductive immunology (New York, N.Y. : 1989) May 10, 2021
PROBLEM: Preterm birth (PTB) is a major cause of increased morbidity and mortality in newborns. The main cause of spontaneous PTB (sPTB) is the activation of an inflammatory response as a result of ascending genital tract infection. Despite various s...
Body Fluids Humans Vagina Machine Learning Female Pregnancy Case-Control Studies Premature Birth Cervix Uteri Risk Factors Microbiota Adult
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AECG-DecompNet: abdominal ECG signal decomposition through deep-learning model.

Physiological measurement May 10, 2021
The accurate decomposition of a mother's abdominal electrocardiogram (AECG) to extract the fetal ECG (FECG) is a primary step in evaluating the fetus's health. However, the AECG is often affected by different noises and interferences, such as the mat...
Humans Algorithms Abdomen Pregnancy Electrocardiography Female Signal Processing, Computer-Assisted Deep Learning Fetal Monitoring
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Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study.

JMIR mHealth and uHealth May 6, 2021
BACKGROUND: The World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide. Acute exacerbations of chronic obstr...
Humans Machine Learning Prospective Studies Pregnancy Deep Learning Wearable Electronic Devices Cohort Studies Taiwan Female Pulmonary Disease, Chronic Obstructive Quality of Life
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Cesarean scar pregnancy: Reproductive outcome after robotic laparoscopic removal with simultaneous repair of the uterine defect.

European journal of obstetrics, gynecology, and reproductive biology May 4, 2021
OBJECTIVE: To describe perioperative adverse events, fertility and obstetric outcome, following a robot assisted laparoscopic approach for treating Cesarean scar pregnancies (CSP).
Pregnancy Female Treatment Outcome Robotics Humans Retrospective Studies Cicatrix Laparoscopy Robotic Surgical Procedures
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Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory.

Journal of assisted reproduction and genetics Apr 27, 2021
Staff competency is a crucial component of the in vitro fertilization (IVF) laboratory quality management system because it impacts clinical outcomes and informs the key performance indicators (KPIs) used to continuously monitor and assess culture co...
Blastocyst Female Embryo Culture Techniques Humans Deep Learning Laboratory Personnel Embryonic Development Neural Networks, Computer Early Warning Score Image Processing, Computer-Assisted Sperm Injections, Intracytoplasmic Pregnancy Pregnancy Rate
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Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective.

BMC bioinformatics Apr 24, 2021
BACKGROUND: In this research, an astute system has been developed by using machine learning and data mining approach to predict the risk level of cervical and ovarian cancer in association to stress.
Pregnancy Female Neoplasms Child Logistic Models Neural Networks, Computer Humans Bayes Theorem Machine Learning Algorithms
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Tricky Diagnosis and Robot-laparoscopic Surgical Approach to Disseminated Peritoneal Leiomyomatosis.

Journal of minimally invasive gynecology Apr 18, 2021
STUDY OBJECTIVE: To show the challenging diagnosis of, and safe robotic surgical approach to, a rare case of disseminated peritoneal leiomyomatosis (DPL).
Uterine Myomectomy Leiomyomatosis Laparoscopy Uterine Neoplasms Hysterectomy Pregnancy Humans Female Middle Aged Robotics
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Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study.

BJOG : an international journal of obstetrics and gynaecology Apr 15, 2021
OBJECTIVE: To create a personalised machine learning model for prediction of severe adverse neonatal outcomes (SANO) during the second stage of labour.
Retrospective Studies Pregnancy Female Parity Adult ROC Curve Labor Stage, Second Obstetric Labor Complications Pregnancy Outcome Gravidity Humans Labor Presentation Machine Learning Predictive Value of Tests Labor Stage, First Patient Admission Delivery, Obstetric
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