Latest AI and machine learning research in ethics for healthcare professionals.
Accurate grading of non-muscle-invasive urothelial cell carcinoma is of major importance; however, h...
BACKGROUND: Functional enrichment of genes and pathways based on Gene Ontology (GO) has been widely ...
In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learnin...
This paper studies the inverse kinematics of two non-spherical wrist configurations of painting robo...
Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failu...
Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. ...
In this article, the authors propose an ethical framework for using and sharing clinical data for th...
PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell ...
Machine learning, artificial intelligence, and other modern statistical methods are providing new op...
The advent of computational methods for efficient prediction of the druglikeness of small molecules ...
BACKGROUND: IBM Watson for Oncology (WFO) provides physicians with evidence-based treatment options....
The first collection of Star Trek (ST) papers in this journal concentrated on the various doctors th...
Non-negative matrix factorization (NMF) is a knowledge discovery method that is used in many fields....
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (EC...
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate progno...
The medical and machine learning communities are relying on the promise of artificial intelligence (...
Artificial intelligence (AI) describes systems capable of making decisions of high cognitive complex...
. Given the burgeoning impacts of climatic variability on human health, suitable computational parad...
In longitudinal studies, outcomes are measured repeatedly over time and it is common that not all th...
Action recognition algorithms are widely used in the fields of medical health and pedestrian dead re...
Over the past decade, there has been a groundswell of research interest in computer-based methods fo...