Latest AI and machine learning research in pregnancy for healthcare professionals.
Recent applications of artificial intelligence (AI) and deep learning (DL) in health care include en...
INTRODUCTION: It might in the future be valuable to screen for increased maternal arterial stiffness...
Choline has been recognized as an essential nutrient by the Food and Nutrition Board of the National...
Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading ca...
Thermal dose is an important clinical efficacy index for hyperthermia cancer treatment. This paper p...
Preeclampsia (PE), new onset hypertension during pregnancy, is associated with a proinflammatory pro...
INTRODUCTION: Anatomic characteristics of kidneys derived from ultrasound images are potential bioma...
Ultrasound imaging of the thyroid gland is considered to be the best diagnostic choice for evaluatin...
BACKGROUND AND AIM: This study aimed to determine the effect of gestational nicotine exposure before...
Studies involving different methods and techniques of cryopreservation and its interactions with the...
OBJECTIVE: Segmentation of anatomical structures in ultrasound images requires vast radiological kno...
OBJECTIVE: Obstetricians mainly use ultrasound imaging for fetal biometric measurements. However, su...
PURPOSE: Early diagnosis of triple-negative (TN) breast cancer is important due to its aggressive bi...
The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic de...
OBJECTIVE: To describe a novel ultrasound-guided posterior extraconal block in the dog.
The manuscript describes an ultrasound image segmentation technique based on the fractional Brownian...
Hepatic impairment is common during hyperthyroidism. It is most often asymptomatic. Hyperthyroidism ...
Despite the progress in the area of food safety, foodborne diseases still represent a massive challe...
We present a novel multi-task convolutional neural network called Multi-task SonoEyeNet () that lear...
Accurate localization of structural abnormalities is a precursor for image-based prenatal assessment...
We propose a framework for localization and classification of masses in breast ultrasound images. We...