Pregnancy

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.

Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent COVID-19 ...

Machine Learning (ML) based-method applied in recurrent pregnancy loss (RPL) patients diagnostic work-up: a potential innovation in common clinical practice.

RPL is a very debated condition, in which many issues concerning definition, etiological factors to ...

Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images.

PURPOSE: Precise localization of cystic bone lesions is crucial for osteolytic bone tumor surgery. R...

Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.

AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal r...

Alveolar Bone Segmentation in Intraoral Ultrasonographs with Machine Learning.

The use of intraoral ultrasound imaging has received great attention recently due to the benefits of...

A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type.

The microbiome is a new frontier for building predictors of human phenotypes. However, machine learn...

Autonomous Biohybrid Urchin-Like Microperforator for Intracellular Payload Delivery.

A magnetic urchin-like microswimmer based on sunflower pollen grain (SPG) that can pierce the cancer...

Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy.

PURPOSE: Twin-to-twin transfusion syndrome (TTTS) is a placental defect occurring in monochorionic t...

Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation.

In order to realize the visual analysis of cardiac fluid motion, according to the characteristics of...

Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

The objective of this study was to assess the impact of artificial intelligence (AI)-based decision...

Segmentation of finger tendon and synovial sheath in ultrasound image using deep convolutional neural network.

BACKGROUND: Trigger finger is a common hand disease, which is caused by a mismatch in diameter betwe...

Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.

Super-resolution ultrasound (SR-US) imaging is a new technique that breaks the diffraction limit and...

Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk.

Terminal duct lobular unit (TDLU) involution is the regression of milk-producing structures in the b...

Re: Francesco Porpiglia, Enrico Checcucci, Daniele Amparore, et al. Three-dimensional Augmented Reality Robot-assisted Partial Nephrectomy in Case of Complex Tumours (PADUA ≥ 10): A New Intraoperative Tool Overcoming the Ultrasound Guidance. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.11.024.

FF-QuantSC: accurate quantification of fetal fraction by a neural network model.

BACKGROUND: Noninvasive prenatal testing (NIPT) is one of the most commonly employed clinical measur...

Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

PURPOSE: We aimed to propose a highly automatic and objective model named deep learning Radiomics of...

Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.

The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of AI ...

Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia.

BACKGROUND: We developed and validated an artificial intelligence (AI)-assisted prediction of preecl...

Deep Learning for Ultrasound Localization Microscopy.

By localizing microbubbles (MBs) in the vasculature, ultrasound localization microscopy (ULM) has re...

Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging.

Ultrasound molecular imaging (UMI) is enabled by targeted microbubbles (MBs), which are highly refle...

Reply to Mengda Zhang and Long Wang's Letter to the Editor re: Francesco Porpiglia, Enrico Checcucci, Daniele Amparore, et al. Three-dimensional Augmented Reality Robot-assisted Partial Nephrectomy in Case of Complex Tumours (PADUA ≥ 10): A New Intraoperative Tool Overcoming the Ultrasound Guidance. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.11.024.