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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545609 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0136366 | PLOS |
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A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.
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December 2024
Department of Computer Science, Columbia University, 1214 Amsterdam Ave, 721 Schapiro CEPSR, New York, NY, 10027, USA.
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after pregnancy. Because of its diverse clinical presentation, preeclampsia is an adverse pregnancy outcome that is uniquely challenging to predict and manage. In this paper, we developed racial bias-free machine learning models that predict the onset of preeclampsia with severe features or eclampsia at discrete time points in a nulliparous pregnant study cohort.
View Article and Find Full Text PDFSonographic Assessment of Isthmocele and Its Obstetric Complications in Subsequent Pregnancies: A Pictorial Review.
Indian J Radiol Imaging
January 2025
Department of Pediatrics, St. John's Medical College, Bengaluru, Karnataka, India.
Cesarean scar defect represents a significant pathology attributed to the rising prevalence of cesarean deliveries. While not commonplace, these lesions can give rise to severe obstetric consequences during subsequent pregnancies. Given the potential complications, it is advisable to screen for uterine niches using transvaginal ultrasound (TVUS) or contrast-enhanced TVUS for individuals planning to conceive.
View Article and Find Full Text PDFUltrasound-guided photoacoustic image annotation toolkit in MATLAB (PHANTOM) for preclinical applications.
Photoacoustics
February 2025
Department of Biomedical Engineering, Tufts University, Medford, MA, United States.
Depth-dependent fluence-compensation in photoacoustic (PA) imaging is paramount for accurate quantification of chromophores from deep tissues. Here we present a user-friendly toolkit named PHANTOM (PHotoacoustic ANnotation TOolkit for MATLAB) that includes a graphical interface and assists in the segmentation of ultrasound-guided PA images. We modelled the light source configuration with Monte Carlo eXtreme and utilized 3D segmented tissues from ultrasound to generate fluence maps to depth compensate PA images.
View Article and Find Full Text PDFAuthor Correction: Ultrasound based radiomics model for assessment of placental function in pregnancies with preeclampsia.
Sci Rep
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Department of Ultrasound Medicine, Obstetrics and Gynecology Hospital, Fudan University, No. 128, Shenyang Road, Shanghai, 200090, China.
Stillbirth and Congenital Syphilis: Autopsy and Placental Findings of 11 Cases and Review of the Literature.
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Pathology Department, Rouen University Hospital, Rouen, France.
Syphilis is a preventable and treatable disease, which continues to strike low-income countries and vulnerable populations in high-income countries. It is caused by , a spirochete capable of traversing the placental barrier, with a high rate of fetal and placental infection. Congenital syphilis (CoS) has poor prognosis if left untreated.
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