Latest AI and machine learning research in ethics for healthcare professionals.
PURPOSE: Regional cerebral blood flow (rCBF) quantification using 123I-N-isopropyl-p-iodoamphetamine...
In face-to-face interactions, parties rapidly react and adapt to each other's words, movements and e...
PURPOSE: A deep learning framework to differentiate glaucomatous optic disc changes due to glaucomat...
The inverse protein folding problem, also known as protein sequence design, seeks to predict an amin...
BACKGROUND: Although research on non-coding RNAs (ncRNAs) is a hot topic in life sciences, the funct...
BACKGROUND AND OBJECTIVE: Deep learning is applied in medicine mostly due to its state-of-the-art pe...
PURPOSE FOR REVIEW: This perspective piece has two goals: first, to describe issues related to artif...
In order to treat degenerative diseases, the importance of advanced therapy medicinal products has i...
INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and i...
One key task in the early fight against the COVID-19 pandemic was to plan non-pharmaceutical interve...
The present study aims to identify suicide risks in major depressive disorders (MDD) patients from s...
BACKGROUND: Lung cancer is the leading cause of cancer-related deaths worldwide. The majority of lun...
Human leukocyte antigen (HLA) plays a vital role in immunomodulatory function. Studies have shown th...
Numerous models have been developed to account for the complex properties of the random walks of bio...
Non-rigid registration between 3D surfaces is an important but notorious problem in medical imaging,...
Medical research based on internet archive data, which in some ways is quite different from other da...
OBJECTIVES: The aim of this study was to assess midterm functional outcomes and complications of rob...
Diabetic retinopathy (DR) at risk of vision loss (referable DR) needs to be identified by retinal sc...
Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. How...
Discovering a meaningful symbolic expression that explains experimental data is a fundamental challe...
Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. V...