Latest AI and machine learning research in pregnancy for healthcare professionals.
Thyroid nodules are a common occurrence, and although most are non-cancerous, some can be malignant....
The objective of this study is to develop and evaluate natural language processing (NLP) and machine...
BACKGROUND: Congenital heart disease (CHD) is one of the most common birth defects in the world. It ...
OBJECTIVE: Many fetal anomalies can already be diagnosed by ultrasound in the first trimester of pre...
Early prediction of surgical necrotizing enterocolitis (sNEC) in preterm infants is important. Howev...
Healthcare organizations have realized that Artificial intelligence (AI) can provide a competitive e...
With the huge progress in micro-electronics and artificial intelligence, the ultrasound probe has be...
Accurate placenta pathology assessment is essential for managing maternal and newborn health, but th...
Ultrasound imaging is a widely used technique for fatty liver diagnosis as it is practically afforda...
BACKGROUND: Stereotactic body radiotherapy of thoracic and abdominal tumors has to account for respi...
BACKGROUND: The prevalence of metabolic syndrome is rapidly increasing in the United States. We hypo...
Hepatocellular carcinoma (HCC) is one of the most fatal malignancies. Early diagnosis of HCC is cruc...
The utilization of artificial intelligence (AI) in medical imaging has become a rapidly growing fiel...
Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology, rev...
Focused cardiac ultrasound (FoCUS) is a valuable point-of-care method for evaluating cardiovascular ...
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is considered as an efficient tool for focal liver l...
PURPOSE: To assess the effectiveness of a deep learning model using contrastenhanced ultrasound (CEU...
Expedited implementation of evidence into practice and policymaking is critical to ensure the delive...
INTRODUCTION: Ultrasonography in the first trimester of pregnancy offers an early screening tool to ...
OBJECTIVE: Deep learning algorithms have commonly been used for the differential diagnosis between b...
Cardiac ultrasound (US) image segmentation is vital for evaluating clinical indices, but it often de...