Latest AI and machine learning research in pregnancy for healthcare professionals.
The programming of innate and adaptive immunity plays a pivotal role in determining the course of p...
BACKGROUND: Understanding the prenatal origins of children's psychopathology is a fundamental goal i...
Lung ultrasound (LUS) has emerged as a safe and cost-effective modality for assessing lung health, p...
This study aims to construct and evaluate a deep learning model, utilizing ultrasound images, to acc...
There is an imbalance in the development of artificial intelligence between industries. Compared to ...
BACKGROUND: An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when...
OBJECTIVE: To develop an ultrasound-driven clinical deep learning radiomics (CDLR) model for stratif...
PURPOSE: Osteochondritis dissecans (OCD) of the humeral capitellum is a common cause of elbow disord...
BACKGROUND: Breast cancer is a leading cause of cancer morbility and mortality in women. The possibi...
INTRODUCTION: Early prediction of preeclampsia (PE) is of universal importance in controlling the di...
BACKGROUND: Thoracic segmental spinal anesthesia (SA) may be a good alternative to general anesthesi...
This article explores the evolving role of ultrasound technology in anesthesia. Ultrasound emerged d...
PURPOSE: Abdominal ultrasound screening requires the capture of multiple standardized plane views as...
Deep learning-based super-resolution ultrasound (DL-SRU) framework has been successful in improving ...
Despite the high prevalence and burden of mental health conditions, there is a global shortage of me...
Despite being extremely relevant for the protection of prenatal and neonatal health, the development...
Congenital heart disease is a severe health risk for newborns. Early detection of abnormalities in f...
Phase aberration caused by human skulls severely degrades the quality of transcranial ultrasound ima...
OBJECTIVE: Low-cost devices have made obstetric sonography possible in settings where it was previou...
OBJECTIVE: Salmon breeding companies control the egg stripping period through environmental change, ...
This paper proposes a denoising method based on an adversarial deep learning approach for the post-p...