Latest AI and machine learning research in menopause for healthcare professionals.
The task to develop a mechanism for predicting the hemodynamic parameters values based on non-invasi...
The demand for cost-efficient manufacturing of complex metal components has driven research for meta...
Malaria diagnosis based on microscopy is impaired by the gradual disappearance of experienced micros...
The current high energy prices pose a serious challenge, especially in the domestic economy. In this...
This retrospective study aimed to develop and validate a deep learning model for the classification ...
Due to complicated dynamics, wind turbines' governing equations are subject to uncertainties and unk...
This study investigated the effects of robot-assisted gait training with body weight support on gait...
In a growing number of social and clinical scenarios, machine learning (ML) is emerging as a promisi...
Immunotherapy using immune checkpoint modulators has revolutionized the oncology field, emerging as ...
Multivariate time series forecasting remains a challenging task because of its nonlinear, non-statio...
A promoter is a short DNA sequence near the start codon, responsible for initiating the transcriptio...
The purpose of this study was to investigate the effects of a combined robot-assisted gait training ...
Large and complex data sets are increasingly available for research in critical care. To analyze the...
PURPOSE: To improve the quantitative accuracy and diagnostic confidence of PET images reconstructed ...
BACKGROUND: Accurate prognostic prediction plays a crucial role in the clinical setting. However, th...
INTRODUCTION: Peripheral arterial disease (PAD) is an atherosclerotic disease leading to stenosis an...
Fully insertable robotic imaging devices represent a promising future of minimally invasive laparosc...
Whole genome sequencing is increasingly used to diagnose medical conditions of genetic origin. While...
Parallel imaging is the most clinically used acceleration technique for magnetic resonance imaging (...
Non-invasive foetal electrocardiography (NI-FECG) has become an important prenatal monitoring method...
BACKGROUND: Effective screening is important to combat the raising burden of depression and opens a ...