Latest AI and machine learning research in menopause for healthcare professionals.
Crohn's disease (CD) is an idiopathic chronic inflammatory bowel disease without a cure. Most of the...
AIMS: Immunohistochemical programmed death-ligand 1 (PD-L1) staining to predict responsiveness to im...
Automated bowel sound (BS) analysis methods were already well developed by the early 2000s. Accuracy...
Non-contact physiological measurements have been under investigation for many years, and among these...
OBJECTIVES: Artif icial intelligence (AI)-based image analysis is increasingly applied in the acute ...
River flow variations directly affect the hydro-climatological, environmental, and ecological charac...
This paper proposes a deep-learning-based image enhancement approach that can generate high-resoluti...
PURPOSE: We develop a deep learning (DL) radiomics model and integrate it with circulating tumor cel...
Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of b...
The prediction of event propagation has received extensive attention from the knowledge discovery co...
Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care system rep...
Non-obstructive azoospermia (NOA) is among the most severe factors for male infertility, but our und...
Machine learning uses historical data to make predictions about new data. It has been frequently app...
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceiv...
PURPOSE: To develop a deep-learning object detection model for automatic detection of brain metastas...
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-ch...
Video accessibility is crucial for blind screen-reader users as online videos are increasingly playi...
In our previous studies, it was found that graphene oxide (GO) reduced the endocrine disruption of b...
Photothermal therapy (PTT) requires tight thermal dose control to achieve tumor ablation with minima...
Convolutional neural networks have become one of the most powerful computing tools of artificial int...
OBJECTIVE: To assist clinicians in arranging personalized treatment, planning follow-up programs and...