AIMC Topic: Pregnancy
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Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large cohort retrospective study.
Fertility and sterility
Jul 8, 2021
OBJECTIVE: To analyze the performance of an annotation-free embryo scoring system on the basis of deep learning for pregnancy prediction after single vitrified blastocyst transfer (SVBT) compared with the performance of other blastocyst grading syste...
Infertility
Pregnancy Rate
Single Embryo Transfer
Cryopreservation
Vitrification
Fertilization in Vitro
Heart Rate, Fetal
Female
Treatment Outcome
Maternal Age
Adult
Embryo Culture Techniques
Embryo Implantation
Middle Aged
Time-Lapse Imaging
Predictive Value of Tests
Humans
Deep Learning
Blastocyst
Retrospective Studies
Pregnancy
Image Interpretation, Computer-Assisted
Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation.
Chinese medical journal
Jul 1, 2021
BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on d...
Prediction of preterm birth in nulliparous women using logistic regression and machine learning.
PloS one
Jun 30, 2021
OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning.
Embryo selection with artificial intelligence: how to evaluate and compare methods?
Journal of assisted reproduction and genetics
Jun 26, 2021
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of fertilized oocytes (embryos) and selecting the best embryo(s) available within a patient cohort for subsequent transfer or cryopreservation. In recent year...
Microbiome Preprocessing Machine Learning Pipeline.
Frontiers in immunology
Jun 18, 2021
BACKGROUND: 16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may not be the optimal representation for ...
Preliminary examination of the potential of robot-assisted sonography - An ergonomic tool for obstetric sonographers.
Applied ergonomics
Jun 11, 2021
The aim of this study was to explore the ergonomic challenges, the needs and reservations related to robot-assisted ultrasound for obstetric sonographers and thereby to provide information for the design of robotic solutions. A mixed-method design wa...
Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study.
Journal of medical Internet research
Jun 4, 2021
BACKGROUND: The use of artificial intelligence has revolutionized every area of life such as business and trade, social and electronic media, education and learning, manufacturing industries, medicine and sciences, and every other sector. The new ref...
Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates.
Computers in biology and medicine
Jun 3, 2021
Premature birth is the primary risk factor in neonatal deaths, with the majority of extremely premature babies cared for in neonatal intensive care units (NICUs). Mortality risk prediction in this setting can greatly improve patient outcomes and reso...
Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?
Journal of assisted reproduction and genetics
May 24, 2021
PURPOSE: AI and its machine learning algorithms have proven useful in several fields of medicine, including medically assisted reproduction. The purpose of the study was to construct several predictive models based on clinical data and select the bes...
Multidisciplinary Approach to Robotic Resection of Abdominal Wall Endometriosis and Mesh Repair.
Journal of minimally invasive gynecology
May 21, 2021
STUDY OBJECTIVE: To demonstrate a technique for robot-assisted laparoscopic excision of abdominal wall endometriosis and mesh reinforcement of the subsequent defect.
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