Pregnancy

Detecting muscle activation using ultrasound speed of sound inversion with deep learning.

Functional muscle imaging is essential for diagnostics of a multitude of musculoskeletal afflictions such as degenerative muscle diseases, muscle injuries, muscle atrophy, and neurological related issues such as spasticity. However, there is currently no solution, imaging or otherwise, capable of providing a map of active muscles over a large field of view in dynamic scenarios.In this work, we loo...

Deep Learning based Quantification of Ovary and Follicles using 3D Transvaginal Ultrasound in Assisted Reproduction.

Quantification of ovarian and follicular volume and follicle count are performed in clinical practice for diagnosis and management in assisted reproduction. Ovarian volume and Antral Follicle Count (AFC) are typically tracked over the ovulation cycle. Volumetric analysis of ovary and follicle is manual and largely operator dependent. In this manuscript, we have proposed a deep-learning method for ...

Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks.

The purpose of this study was to develop an automatic method for the segmentation of muscle cross-sectional area on transverse B-mode ultrasound image...

Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.

The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation process during assisted reproduction. The JZ chan...

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

Sonomyography (ultrasound imaging) offers a way of classifying complex muscle activity and configuration, with higher SNR and lower hardware requireme...

Planning Framework for Robot-assisted Blood-Brain Barrier Opening with Focused Ultrasound.

This article presents a method to plan BloodBrain Barrier (BBB) disruption with Focused Ultrasound, under neuronavigated robotic assistance. Robotic a...

Automated Misspelling Detection and Correction in Persian Clinical Text.

Accurate electronic health records are important for clinical care, research, and patient safety assurance. Correction of misspelled words is required...

Emerging technologies in neuromuscular ultrasound.

Neuromuscular ultrasound is an accepted and valuable element in the evaluation of peripheral nerve and muscle disease. However, ultrasound has several...

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 applications at hard-to-access regions inside the human bod...

[Multi-feature Extraction and Classification of Breast Tumor in Ultrasound Image].

OBJECTIVE: Feature extraction of breast tumors is very important in the breast tumor detection (benign and malignant) in ultrasound image. The traditi...

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 of the intersection of artificial intelligence and ...

Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning.

PURPOSE: To develop a software package for automated measuring of the trabecular-iris angle (TIA) using ultrasound biomicroscopy.

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 employed to detect and evaluate thyroid nodules. The...

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 three categories: clinical epidemiological factors,...

[New Trends in Breast Imaging].

New Trends in Breast Imaging The examination of the breast, especially as a screening examination for breast cancer, has so far been carried out prim...

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 for the treatment of peripheral artery disease. D...