AIMC Topic: Pregnancy

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Robot-assisted laparoscopic repair of cesarean scar defect: a systematic review of clinical evidence.

Journal of robotic surgery Nov 27, 2022
We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect. A systematic PubMed and Scopus search was conducted. All databases were assessed up to May 23, 2022. Studies reporting data on robot-assisted repair...
Robotics Cicatrix Laparoscopy Robotic Surgical Procedures Cesarean Section Adult Infant Pregnancy Female Humans
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Artificial intelligence to understand fluctuation of fetal brain activity by recognizing facial expressions.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Nov 26, 2022
OBJECTIVE: To examine whether artificial intelligence can achieve discoveries regarding fetal brain activity.
Fetus Female Ultrasonography, Prenatal Facial Expression Humans Artificial Intelligence Brain Pregnancy
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Systematic review of academic robotic surgery curricula.

Journal of robotic surgery Nov 21, 2022
The use of robotic surgery has increased exponentially in the United States. Despite this uptick in popularity, no standardized training pathway exists for surgical residents or practicing surgeons trying to cross-train onto the platform. We set out ...
Animals Male Robotics Pregnancy Female Robotic Surgical Procedures Curriculum Colectomy Humans Computer Simulation
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DeepGA for automatically estimating fetal gestational age through ultrasound imaging.

Artificial intelligence in medicine Nov 17, 2022
Accurate estimation of gestational age (GA) is vital for identifying fetal abnormalities. Conventionally, GA is estimated by measuring the morphology of the cranium, abdomen, and femur manually and inputting them into the classic Hadlock formula to a...
Artificial Intelligence Pregnancy Female Ultrasonography, Prenatal Ultrasonography Head Humans Gestational Age
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Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI).

Journal of assisted reproduction and genetics Nov 14, 2022
PURPOSE: Deep learning neural networks have been used to predict the developmental fate and implantation potential of embryos with high accuracy. Such networks have been used as an assistive quality assurance (QA) tool to identify perturbations in th...
Humans Artificial Intelligence Retrospective Studies Blastocyst Reproductive Techniques, Assisted Pregnancy Rate Cryopreservation Pregnancy Embryo Implantation Female
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Establishment of a model for predicting the outcome of induced labor in full-term pregnancy based on machine learning algorithm.

Scientific reports Nov 9, 2022
To evaluate and establish a prediction model of the outcome of induced labor based on machine learning algorithm. This was a cross-sectional design. The subjects were divided into primipara and multipara, and the risk factors for the outcomes of indu...
Humans Machine Learning Cross-Sectional Studies Algorithms Bayes Theorem Pregnancy Labor, Induced Female
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An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos.

Artificial intelligence in medicine Nov 2, 2022
In assisted reproductive technology (ART), embryos produced by in vitro fertilization (IVF) are graded according to their live birth potential, and high-grade embryos are preferentially transplanted. However, rates of live birth following clinical AR...
Animals Deep Learning Time Factors Mice Live Birth Algorithms Machine Learning Pregnancy Female
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RU-Net: An improved U-Net placenta segmentation network based on ResNet.

Computer methods and programs in biomedicine Oct 28, 2022
BACKGROUND: In recent years, with the increase of late puerperium, cesarean section and induced abortion, the incidence of placenta accreta has been on the rise. It has become one of the common clinical diseases in obstetrics and gynecology. In clini...
Image Processing, Computer-Assisted Pregnancy Humans Placenta Female Neural Networks, Computer Cesarean Section
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A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images.

Biomedizinische Technik. Biomedical engineering Oct 6, 2022
Sickle Cell Anemia (SCA) is a disorder in Red Blood Cells (RBCs) of human blood. Children under five years and pregnant women are mostly affected by SCA. Early diagnosis of this ailment can save lives. In recent years, the computer aided diagnosis of...
Child, Preschool Child Humans Anemia, Sickle Cell Databases, Factual Diagnosis, Computer-Assisted Erythrocytes Pregnancy Deep Learning Female
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Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.

JAMA network open Oct 3, 2022
IMPORTANCE: Risk-stratification tools are routinely used in obstetrics to assist care teams in assessing and communicating risk associated with delivery. Electronic health record data and machine learning methods may offer a novel opportunity to impr...
Retrospective Studies Electronic Health Records Pregnancy Cohort Studies Female Natural Language Processing Humans Adult Machine Learning
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