Pregnancy

Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data.

This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time cla...

Robot-assisted Laparoscopic Excision of Abdominal Wall Endometrioma Utilizing Intraoperative Ultrasound and Transabdominal Needle Placement.

OBJECTIVE: In patients with endometriosis, extra pelvic endometriosis is estimated to have an incide...

Improved pregnancy prediction performance in an updated deep-learning embryo selection model: a retrospective independent validation study.

RESEARCH QUESTION: What is the effect of increasing training data on the performance of ongoing preg...

Microrobots for Biomedicine: Unsolved Challenges and Opportunities for Translation.

Microrobots are being explored for biomedical applications, such as drug delivery, biological cargo ...

Frequency constraint-based adversarial attack on deep neural networks for medical image classification.

The security of AI systems has gained significant attention in recent years, particularly in the med...

Highly Flexible Deep-Learning-Based Automatic Analysis for Graphically Encoded Hydrogel Microparticles.

Graphically encoded hydrogel microparticle (HMP)-based bioassay is a diagnostic tool characterized b...

Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism.

INTRODUCTION: The objective was to perform placental ultrasound image texture (UPIA) in first (T1), ...

A novel machine learning model for predicting clinical pregnancy after laparoscopic tubal anastomosis.

BACKGROUND: Laparoscopic tubal anastomosis (LTA) is a treatment for women who require reproduction a...

Unsupervised deep learning-based displacement estimation for vascular elasticity imaging applications.

. Arterial wall stiffness can provide valuable information on the proper function of the cardiovascu...

Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.

PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnan...

Artificial Intelligence (AI)-Aided Structure Optimization for Enhanced Gene Delivery: The Effect of the Polymer Component Distribution (PCD).

Gene therapy has emerged as a significant advancement in medicine in recent years. However, the deve...

Robotic ultrasound imaging: State-of-the-art and future perspectives.

Ultrasound (US) is one of the most widely used modalities for clinical intervention and diagnosis du...

Deep-learning based segmentation of ultrasound adipose image for liposuction.

BACKGROUND: To develop an automatic and reliable ultrasonic visual system for robot- or computer-ass...

Association of white blood cell count after operative vaginal delivery with maternal adverse outcome: A retrospective cohort study.

BACKGROUND: The white blood cell count is often used to assess the maternal condition after an opera...

Clinical Applications, Challenges, and Recommendations for Artificial Intelligence in Musculoskeletal and Soft-Tissue Ultrasound: Expert Panel Narrative Review.

Artificial intelligence (AI) is increasingly used in clinical practice for musculoskeletal imaging t...

Smart ICV™ versus VOCAL™ in fetal brain volume assessment: Can we begin to trust artificial intelligence in clinical practice?

Knowledge Gaps in Generating Cell-Based Drug Delivery Systems and a Possible Meeting with Artificial Intelligence.

Cell-based drug delivery systems are new strategies in targeted delivery in which cells or cell-memb...

Use of artificial intelligence and deep learning in fetal ultrasound imaging.

Deep learning is considered the leading artificial intelligence tool in image analysis in general. D...

Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention.

Fundus ultrasound image classification is a critical issue in the medical field. Vitreous opacity (V...

Magnetically actuated hydrogel-based capsule microrobots for intravascular targeted drug delivery.

Microrobots for targeted drug delivery in blood vessels have attracted increasing interest from rese...

Examining the effectiveness of a deep learning-based computer-aided breast cancer detection system for breast ultrasound.

PURPOSE: This study aimed to evaluate the clinical usefulness of a deep learning-based computer-aide...