Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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3D freehand ultrasound without external tracking using deep learning.

This work aims at creating 3D freehand ultrasound reconstructions from 2D probes with image-based tr...

Fetal health status prediction based on maternal clinical history using machine learning techniques.

BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of ...

Inhalable Fucoidan Microparticles Combining Two Antitubercular Drugs with Potential Application in Pulmonary Tuberculosis Therapy.

The pulmonary delivery of antitubercular drugs is a promising approach to treat lung tuberculosis. T...

Fully automated, real-time 3D ultrasound segmentation to estimate first trimester placental volume using deep learning.

We present a new technique to fully automate the segmentation of an organ from 3D ultrasound (3D-US)...

Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment.

Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decr...

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.

Accurate medical image segmentation is essential for diagnosis, surgical planning and many other app...

A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy.

Targeted prostate biopsy, incorporating multi-parametric magnetic resonance imaging (mp-MRI) and its...

Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks.

PURPOSE: During needle interventions, successful automated detection of the needle immediately after...

Automatic Robotic Steering of Flexible Needles from 3D Ultrasound Images in Phantoms and Ex Vivo Biological Tissue.

Robotic control of needle bending aims at increasing the precision of percutaneous procedures. Ultra...

A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.

BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, wit...

Oral Delivery of Curcumin Polymeric Nanoparticles Ameliorates CClâ‚„-Induced Subacute Hepatotoxicity in Wistar Rats.

Curcumin is the major bioactive compound of , an important medicinal plant used in traditional herba...

Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsia.

Preeclampsia is a pregnancy associated disease. It is characterized by high blood pressure and sympt...

Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.

MOTIVATION: The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular d...

A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.

The important role of angiogenesis in cancer development has driven many researchers to investigate ...

A Dynamic Compliance Cervix Phantom Robot for Latent Labor Simulation.

Physical simulation systems are commonly used in training of midwifery and obstetrics students, but ...

Autonomous Magnetic Microrobots by Navigating Gates for Multiple Biomolecules Delivery.

The precise delivery of biofunctionalized matters is of great interest from the fundamental and appl...

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.

Prenatal screening generates a great amount of data that is used for predicting risk of various diso...

An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images.

Unlike daily routine images, ultrasound images are usually monochrome and low-resolution. In ultraso...

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