Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
PURPOSE: To investigate whether the image quality of a specific deep learning-based synthetic CT (sC...
Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian can...
With the development of information technology, the purchase of goods online has acquired a differen...
Wireless millimeter-scale origami robots have recently been explored with great potential for biomed...
This research was aimed to study the application value of the magnetic resonance imaging (MRI) diagn...
OBJECTIVE: Acute kidney injury (AKI) after pediatric cardiac surgery with cardiopulmonary bypass (CP...
Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learn...
INTRODUCTION: Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine s...
Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical ...
This study was to explore the value of the deep dictionary learning algorithm in constructing a B ul...
This study was aimed to explore magnetic resonance imaging (MRI) based on deep learning belief netwo...
Cervical nucleus segmentation is a crucial and challenging issue in automatic pathological diagnosis...
With the advent of big data, statistical accounting based on artificial intelligence can realistical...
STUDY OBJECTIVE: To examine whether objective bladder function after robot-assisted radical hysterec...
Intended pregnancy is one of the significant indicators of women's well-being. Globally, 74 million ...
OBJECTIVE: To train and validate a code-free deep learning system (CFDLS) on classifying high-resolu...
Cervical cancer is the fourth most common cancer in women, and its precise detection plays a critica...
OBJECTIVE: The present study was aimed to design and optimize brimonidine tartrate (BRT) loaded cati...
OBJECTIVES: To explore the feasibility and effectiveness of machine learning (ML) based on multipara...
The purpose of this paper is to study the recognition of ships and their structures to improve the s...
PURPOSE: To investigate the application of deep learning combined with traditional radiomics methods...