AIMC Topic: Pregnancy
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Combining deep learning and intelligent biometry to extract ultrasound standard planes and assess early gestational weeks.
European radiology
Jul 1, 2023
OBJECTIVES: To develop and validate a fully automated AI system to extract standard planes, assess early gestational weeks, and compare the performance of the developed system to sonographers.
Noninvasive genetic screening: current advances in artificial intelligence for embryo ploidy prediction.
Fertility and sterility
Jun 30, 2023
This review discusses the use of artificial intelligence (AI) algorithms in noninvasive prediction of embryo ploidy status for preimplantation genetic testing in in vitro fertilization procedures. The current gold standard, preimplantation genetic te...
Simulator, machine learning, and artificial intelligence: Time has come to assist prenatal ultrasound diagnosis.
Journal of clinical ultrasound : JCU
Jun 24, 2023
In this Commentary authors investigated and extended the role of simulator in assisting obstetric sonographers in training program. The interconnection of different digitalized technologies such as digital data, artificial neuronal and convolutional ...
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.
Expert review of cardiovascular therapy
Jun 21, 2023
INTRODUCTION: Guidelines advise ongoing follow-up of patients after hypertensive disorders of pregnancy (HDP) to assess cardiovascular risk and manage future patient-specific pregnancy conditions. However, there are limited tools available to monitor...
Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.
BMC medical ethics
Jun 20, 2023
BACKGROUND: Despite the recognition that developing artificial intelligence (AI) that is trustworthy is necessary for public acceptability and the successful implementation of AI in healthcare contexts, perspectives from key stakeholders are often ab...
Improving outcomes of assisted reproductive technologies using artificial intelligence for sperm selection.
Fertility and sterility
Jun 10, 2023
Within the field of assisted reproductive technology, artificial intelligence has become an attractive tool for potentially improving success rates. Recently, artificial intelligence-based tools for sperm evaluation and selection during intracytoplas...
External validation of a model for selecting day 3 embryos for transfer based upon deep learning and time-lapse imaging.
Reproductive biomedicine online
Jun 3, 2023
RESEARCH QUESTION: Could objective embryo assessment using iDAScore Version 2.0 perform as well as conventional morphological assessment?
[Interest of iDAScore (intelligent Data Analysis Score) for embryo selection in routine IVF laboratory practice: Results of a preliminary study].
Gynecologie, obstetrique, fertilite & senologie
Jun 2, 2023
INTRODUCTION: Embryo selection is a major challenge in ART, especially since the generalization of single embryo transfer, and its optimization could lead to the improvement of clinical results in IVF. Recently, several Artificial Intelligence (AI) m...
Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies.
Journal of medical Internet research
May 31, 2023
BACKGROUND: Low birthweight (LBW) is a leading cause of neonatal mortality in the United States and a major causative factor of adverse health effects in newborns. Identifying high-risk patients early in prenatal care is crucial to preventing adverse...
Prenatal Diagnosis of Placenta Accreta Spectrum Disorders: Deep Learning Radiomics of Pelvic MRI.
Journal of magnetic resonance imaging : JMRI
May 24, 2023
BACKGROUND: Diagnostic performance of placenta accreta spectrum (PAS) by prenatal MRI is unsatisfactory. Deep learning radiomics (DLR) has the potential to quantify the MRI features of PAS.
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