AI Medical Compendium Topic:
Pregnancy

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Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics.

Studies in health technology and informatics
As social media use has grown in recent years, ease of access and rapid data collection through online social media has permitted researchers to measure and track sentiments related to emerging public health threats. Herein, we explore the possibilit...

Effects of 0.15% ropivacaine alone and combination with sufentanil on epidural labor analgesia and adverse reactions.

African health sciences
OBJECTIVE: The aim of this study was to compare the impacts of 0.15% ropivacaine alone and 0.15% ropivacaine combined with sufentanil on epidural labor analgesia.

Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
OBJECTIVE: Prenatal diagnosis of a rare disease on ultrasound relies on a physician's ability to remember an intractable amount of knowledge. We developed a real-time decision support system (DSS) that suggests, at each step of the examination, the n...

The Effect of Fetal Heart Rate Segment Selection on Deep Learning Models for Fetal Compromise Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Monitoring the fetal heart rate (FHR) is common practice in obstetric care to assess the risk of fetal compromise. Unfortunately, human interpretation of FHR recordings is subject to inter-observer variability with high false positive rates. To impro...

Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Ultrasound examinations during pregnancy can detect abnormal fetal development, which is a leading cause of perinatal mortality. In multiple pregnancies, the position of the fetuses may change between examinations. The individual fetus cannot be clea...

Introduction to Point-of-Care Ultrasonography.

AACN advanced critical care
Medical ultrasonography was first used as a diagnostic tool in 1942 by Theodore Karl Dussik to visualize brain structures. Use of ultrasonography broadened to the field of obstetrics in the 1950s and has since expanded to many other medical special-t...

Towards an Explainable AI-Based Tool to Predict Preterm Birth.

Studies in health technology and informatics
Preterm birth (PTB) is defined as delivery occurring before 37 weeks of gestation. In this paper, Artificial Intelligence (AI)-based predictive models are adapted to accurately estimate the probability of PTB. In doing so, pregnant women' objective r...

[Minimally invasive methods of surgical reconstruction of vesicouterine fistulas].

Urologiia (Moscow, Russia : 1999)
INTRODUCTION: Vesicouterine fistula (VVF) is a rare disease. In 83-93% of cases it develops due to caesarean section. VVF is characterized by non-physiological communication between the bladder and the uterus. This disorder has a significant social i...

Threats by artificial intelligence to human health and human existence.

BMJ global health
While artificial intelligence (AI) offers promising solutions in healthcare, it also poses a number of threats to human health and well-being via social, political, economic and security-related determinants of health. We describe three such main way...

A hybrid artificial intelligence model leverages multi-centric clinical data to improve fetal heart rate pregnancy prediction across time-lapse systems.

Human reproduction (Oxford, England)
STUDY QUESTION: Can artificial intelligence (AI) algorithms developed to assist embryologists in evaluating embryo morphokinetics be enriched with multi-centric clinical data to better predict clinical pregnancy outcome?