AI Medical Compendium Topic:
Pregnancy

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Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.

Human reproduction (Oxford, England)
STUDY QUESTION: Can an artificial intelligence (AI)-based model predict human embryo viability using images captured by optical light microscopy?

Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors, hemodynamic factors and biochemical factors.

[Development of CT Pelvimetry Using Deep Learning Based Reconstruction].

Nihon Hoshasen Gijutsu Gakkai zasshi
PURPOSE: X-ray pelvimetry is typically performed for the diagnosis of the cephalopelvic disproportion (CPD). The purpose of this study was to assess the utility of new computed tomography (CT) reconstruction "deep learning based reconstruction (DLR) ...

Complete Molar Pregnancy in Posmenopausal Woman-a Case Report.

Medical archives (Sarajevo, Bosnia and Herzegovina)
INTRODUCTION: Gestational trophoblastic desease (GTD) is disease typical for reproductive period of women and is extremly rare in postmenopausal period of woman's life.

[Severe influenza A (H1N1) in late pregnancy: a case report].

Zhonghua wei zhong bing ji jiu yi xue
Pregnancy has increased susceptibility to H1N1 influenza virus infection. Maternal influenza infection is associated with increased risk of morbidity and mortality. A case of influenza A (H1N1) during late pregnancy (pregnancy 1, birth 0, pregnancy 3...

"A patient like me" - An algorithm-based program to inform patients on the likely conditions people with symptoms like theirs have.

Medicine
To date, consumer health tools available over the web suffer from serious limitations that lead to low quality health- related information. While health data in our world are abundant, access to it is limited because of liability and privacy constrai...