Latest AI and machine learning research in pregnancy for healthcare professionals.
Fetal brain tissue segmentation is essential for quantifying the presence of congenital disorders in...
A model's interpretability is essential to many practical applications such as clinical decision sup...
IMPORTANCE: Fetal ultrasonography is essential for confirmation of gestational age (GA), and accurat...
PURPOSE: Past research contained the investigation and development of robotic ultrasound. In this co...
RATIONALE AND OBJECTIVES: Prediction of microvascular invasion (MVI) status of hepatocellular carcin...
OBJECTIVES: Ultrasound examination has inter-observer and intra-observer variability and a high fals...
BACKGROUND AND PURPOSE: Fetal brain MR imaging interpretations are subjective and require subspecial...
Most of the humanoid social robots currently diffused are designed only for verbal and animated inte...
To develop a deep-learning system for the automatic identification of triple-negative breast cancer ...
Last-mile transportation of human donor lungs in a densely populated urban environment has been made...
PURPOSE: To create an ultrasound -based deep learning radiomics nomogram (DLRN) for preoperatively p...
In assessing food microbial safety, the presence of Escherichia coli is a critical indicator of feca...
Untethered miniature robots enable targeted delivery and therapy deep inside the gastrointestinal tr...
BACKGROUND: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies fo...
Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early de...
BACKGROUND: Clinically cardiotocography is a technique which is used to monitor and evaluate the lev...
Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved dramatic...
Hypoxic ischemic encephalopathy (HIE) is a major global cause of neonatal death and lifelong disabil...
Artificial intelligence (AI) has experienced explosive growth in oncology and related specialties in...
Care robots have the potential to address the challenge of aging societies, such as labor shortages ...
The goal of this study was to assess the feasibility of three models for detecting hydronephrosis th...