Pregnancy

[Research on real-time detection system of catheter delivering force in vascular interventional robots].

In existing vascular interventional surgical robots, it is difficult to accurately detect the delivery force of the catheter/guidewire at the slave side. Aiming to solve this problem, a real-time force detection system was designed for vascular interventional surgical (VIS) robots based on catheter push force. Firstly, the transfer process of catheter operating forces in the slave end of the inter...

Development and validation of an offline deep learning algorithm to detect vitreoretinal abnormalities on ocular ultrasound.

PURPOSE: We describe our offline deep learning algorithm (DLA) and validation of its diagnostic ability to identify vitreoretinal abnormalities (VRA) on ocular ultrasound (OUS).

Convolutional Neural Network-Based Computer-Assisted Diagnosis of Hashimoto's Thyroiditis on Ultrasound.

PURPOSE: This study investigates the efficiency of deep learning models in the automated diagnosis of Hashimoto's thyroiditis (HT) using real-world ul...

Machine learning on thyroid disease: a review.

This study reviews the recent progress of machine learning for the early diagnosis of thyroid disease. Based on the results of this review, different ...

Use of real-time artificial intelligence in detection of abnormal image patterns in standard sonographic reference planes in screening for fetal intracranial malformations.

OBJECTIVES: To develop and validate an artificial intelligence system, the Prenatal ultrasound diagnosis Artificial Intelligence Conduct System (PAICS...

Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.

BACKGROUND: Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer. Deep learning is making advances in image-recogni...

Real-time identification of fetal anomalies on ultrasound using artificial intelligence: what's next?

Heart Murmurs in Children: Evaluation and Management.

Up to 8.6% of infants and 80% of children have a heart murmur during their early years of life. The presence of a murmur can indicate conditions rangi...

Artificial Intelligence and the Practice of Neurology in 2035: The Neurology Future Forecasting Series.

High-quality health care delivery relies on a complex orchestration of the flow of patient data. Incorporating advanced artificial intelligence (AI) t...

Explainable multimodal machine learning model for classifying pregnancy drug safety.

MOTIVATION: Teratogenic drugs can cause severe fetal malformation and therefore have critical impact on the health of the fetus, yet the teratogenic r...

Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.

For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intelligence (AI) technologies being used in many diffe...

Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor.

OBJECTIVES: To describe a newly developed machine-learning (ML) algorithm for the automatic recognition of fetal head position using transperineal ult...

A Telerobotic Ultrasound Clinic Model of Ultrasound Service Delivery to Improve Access to Imaging in Rural and Remote Communities.

OBJECTIVE: Patients living in many rural and remote areas do not have readily available access to ultrasound services because of a lack of sonographer...

Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthesia.

Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia to inhibit the function of peripheral nerves. Ultr...

Diversified Applications of Self-assembled Nanocluster Delivery Systems- A State-ofthe- art Review.

BACKGROUND: For the nanoparticulate system and the transportation of cellular elements for the fabrication of microelectronic devices, self-assembled ...

Effectiveness of ultrasound-guided pelvic floor muscle training in improving prolonged urinary incontinence after robot-assisted radical prostatectomy.

Persistence of urinary incontinence (UI) after robot-assisted radical prostatectomy (RARP) is a bothersome problem because of its negative effect on t...

A machine learning technology to improve the risk of non-invasive prenatal tests.

BACKGROUND: Timely and accurate diagnosis of genetic diseases can lead to proper action and prevention of irreparable events.

Interdisciplinary Collaboration Opportunities, Challenges, and Solutions for Artificial Intelligence in Ultrasound.

Ultrasound is one of the most widely utilized imaging tools in clinical practice with the advantages of noninvasive nature and ease of use. However, u...

Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images.

The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during pregnancy. This study aims to classify the umbilical c...

Signal Processing Techniques Applied to Axial Transmission Ultrasound.

A new application of ultrasonography has been emerging in the bone quantitative ultrasound arena in the last twenty years: cortical bone characterizat...