Latest AI and machine learning research in pregnancy for healthcare professionals.
PURPOSE: Ultrasound (US)-guided robotic systems can reduce the reliance on the experience and skills...
Recently, Deep Learning based automatic generation of treatment recommendation has been attracting m...
Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in...
In current clinical practice, thyroid nodules in children are generally evaluated on the basis of r...
Despite advances in miniaturization and automation, the need for expert acquisition of a full echoca...
Ultrasound shear wave elasticity imaging is a valuable tool for quantifying the elastic properties o...
PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed...
Over the past 10 years, minimally invasive surgery (MIS) has shown significant benefits compared to ...
For decades, ultrasound images have been widely used in the detection of various diseases due to the...
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US) fetal images....
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a co...
At present, there is a lack of research on Marx's idea of "combining education and productive labor"...
BACKGROUND: Despite their large numbers and widespread use, very little is known about the extent to...
PURPOSE: We aimed to investigate the usefulness of iViz air ver.4 Convex (FUJIFILM, Tokyo) as a tool...
Interventional cardiology procedure is an important type of minimally invasive surgery that deals wi...
Ultrasound features related to thyroid lesions structure, shape, volume, and margins are considered ...
Deep learning-based breast lesion detection in ultrasound images has demonstrated great potential to...
This paper presents an automated method for detection of the diagnostically prominent frames contain...
PURPOSE: To investigate if artificial intelligence can identify fetus intracranial structures in pre...
In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...
A significant challenge for hospitals and medical practitioners in low- and middle-income nations is...