Latest AI and machine learning research in ethics for healthcare professionals.
Stem/progenitor cell transplantation is a potential novel therapeutic strategy to induce angiogenesi...
BACKGROUND: Despite the invention of various non-invasive bioengineering tools, skin-type analysis h...
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...
Rapid technological advances in artificial intelligence are creating opportunities for real-time alg...
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...
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...
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...
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...
OBJECTIVE: To analyze the feasibility of a same day discharge protocol following single-port (SP) ro...
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage ...
Deep learning-based applications have great potential to enhance the quality of medical services. Th...