AIMC Topic: Pregnancy
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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
Jul 1, 2023
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
Jun 15, 2023
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
May 18, 2023
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)
May 1, 2023
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
May 1, 2023
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)
Apr 3, 2023
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?
Robot-Assisted Hysterectomy for Primary Choriocarcinoma of the Cervix - A Novel Approach.
Chirurgia (Bucharest, Romania : 1990)
Apr 1, 2023
The incidence of ectopic choriocarcinoma with primary localization in the uterine cervix is extremely low, with less than hundred cases reported in the English language literature to date. We present a case of primary cervical choriocarcinoma in a 41...
Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy.
Mathematical biosciences and engineering : MBE
Mar 1, 2023
Hypertensive disorder in pregnancy (HDP) remains a major health burden, and it is associated with systemic cardiovascular adaptation. The pulse wave is an important basis for evaluating the status of the human cardiovascular system. This research aim...
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.
The Lancet. Digital health
Jan 1, 2023
BACKGROUND: One challenge in the field of in-vitro fertilisation is the selection of the most viable embryos for transfer. Morphological quality assessment and morphokinetic analysis both have the disadvantage of intra-observer and inter-observer var...
A deep learning-based method for cervical transformation zone classification in colposcopy images.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2023
BACKGROUND: Colposcopy is one of the common methods of cervical cancer screening. The type of cervical transformation zone is considered one of the important factors for grading colposcopic findings and choosing treatment.
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