Latest AI and machine learning research in pregnancy for healthcare professionals.
INTRODUCTION: Endoscopic ultrasound (EUS) allows for characterization and biopsy of pancreatic lesio...
Breast cancer is the most common cancer in women. Breast masses are one of the distinctive signs for...
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is frequently used to distinguish benign parotid tum...
Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagn...
BACKGROUND: Preeclampsia (PE) poses significant diagnostic and therapeutic challenges. This study ai...
Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where proc...
BACKGROUND: The WHO's recommendations on antenatal care underscore the need for ultrasound assessmen...
We evaluated the efficacy of large language models (LLMs), specifically, generative pre-trained tran...
There is a clinical need to develop lipid nanoparticles (LNPs) to deliver congenital therapies to th...
The use of artificial intelligence (AI) platforms is revolutionizing the performance in managing met...
The use of artificial intelligence (AI) in obstetric anaesthesiology shows great potential in enhanc...
Mobile health has the potential to revolutionize health care delivery and patient engagement. In thi...
We developed a multimodal ultrasound (US) deep learning (DL) fusion model to automatically classify ...
The present study was designed to test the potential utility of regional cerebral oxygen saturation ...
With the advancement of computer technology and imaging equipment, ultrasound has emerged as a cruci...
Predictive modeling is becoming increasingly popular in the context of early disease detection. The ...
RATIONALE AND OBJECTIVES: The aim of this study was to evaluate the capability of an ultrasound (US)...
RATIONALE AND OBJECTIVES: To investigate the value of deep learning (DL) combined with radiomics and...
Thyroid nodules are challenging to accurately characterize on ultrasound (US), though the emergence...
The aim of this study is to investigate the feasibility of artificial intelligence in the interpreta...
In this study, a deep learning model is proposed for the classification of fetal health into 3 categ...