Latest AI and machine learning research in pregnancy for healthcare professionals.
PURPOSE: One of the promising options for motion management in radiation therapy (RT) is the use of ...
OBJECTIVE: Currently, there is a worldwide shift toward competency-based medical education. This nec...
Numerous models have investigated cancer behavior by considering different factors in chemotherapy. ...
Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause ...
In this paper, we propose a fully automatic method based on a densely connected convolutional networ...
OBJECTIVES: The purpose of this study was to develop an automatic tracking method for the muscle cro...
BACKGROUND: The development of standardised methods for ultrasound (US) scanning and evaluation of s...
OBJECTIVES: To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and ...
PURPOSE: The purpose of this study was to create an algorithm that simultaneously detects and charac...
Hypoxic-ischemic (HI) studies in preterms lack reliable prognostic biomarkers for diagnostic tests o...
A Fully Convolutional Network (FCN) based deep architecture called Dual Path U-Net (DPU-Net) is prop...
Cooperative navigation and swarm decision making take center stage in a broad range of distributed a...
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate betwe...
The combination of machine vision and soft computing approaches in the clinical decisions, using tra...
PURPOSE: The goal of this data challenge was to create a structured dynamic with the following objec...
PURPOSE: Ultrasound (US) provides real-time, two-/three-dimensional safe imaging. Due to these capab...
With traditional beamforming methods, ultrasound B-mode images contain speckle noise caused by the r...
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for ...
Machine learning for ultrasound image analysis and interpretation can be helpful in automated image ...
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures r...
This paper investigates practical considerations of training ultrasound deep neural network (DNN) be...