Pregnancy

Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning.

Prediction of a labor due date is important especially for the pregnancies with high risk of complic...

Deep Convolutional Neural Networks for Thyroid Tumor Grading using Ultrasound B-mode Images.

The performances of deep convolutional neural network (DCNN) modeling and transfer learning (TF) for...

Using Supervised Learning Methods to Develop a List of Prescription Medications of Greatest Concern during Pregnancy.

INTRODUCTION: Women and healthcare providers lack adequate information on medication safety during p...

Role of 5G-powered remote robotic ultrasound during the COVID-19 outbreak: insights from two cases.

The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread ...

Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is curre...

Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG.

Diagnosis of hypoxic-ischemic encephalopathy (HIE) is currently limited and prognostic biological ma...

Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Neonatal hypoxic-ischemic encephalopathy (HIE) evolves over different phases of time during recovery...

Towards Sonomyography-Based Real-Time Control of Powered Prosthesis Grasp Synergies.

Sonomyography (ultrasound imaging) offers a way of classifying complex muscle activity and configura...

Automated Misspelling Detection and Correction in Persian Clinical Text.

Accurate electronic health records are important for clinical care, research, and patient safety ass...

Emerging technologies in neuromuscular ultrasound.

Neuromuscular ultrasound is an accepted and valuable element in the evaluation of peripheral nerve a...

Reply: Can deep learning automatically predict fetal heart pregnancy with almost perfect accuracy?

Can deep learning automatically predict fetal heart pregnancy with almost perfect accuracy?

Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...

Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.

Reply: Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.

Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review o...

Detection of Thyroid Nodules with Ultrasound Images Based on Deep Learning.

BACKGROUND: Thyroid nodules are a common clinical entity with high incidence. Ultrasound is often em...

Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into t...

Safety and feasibility of arterial wall targeting with robot-assisted high intensity focused ultrasound: a preclinical study.

PURPOSE: High-intensity focused ultrasound (HIFU) is a potential noninvasive thermal ablation method...

[Severe influenza A (H1N1) in late pregnancy: a case report].

Pregnancy has increased susceptibility to H1N1 influenza virus infection. Maternal influenza infecti...

Maternal serum pentraxin 3 level in early pregnancy for prediction of gestational diabetes mellitus.

BACKGROUND: Our study aimed to reveal the relationship of maternal pentraxin 3 (PTX3)'s serum concen...