Latest AI and machine learning research in ethics for healthcare professionals.
In five experiments (N = 3,828), we investigate whether people prefer investment decisions to be mad...
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser pho...
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objecti...
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact du...
Evaluation of the antigenic similarity degree between the strains of the influenza virus is highly i...
Artificial intelligence (AI) in nuclear medicine has gained significant traction and promises to be ...
The ubiquity of social media usage has led to exciting new technologies such as machine learning. Ma...
This paper describes the design and testing of a gripper developed for handling of delicate and flex...
Non-experts have long made important contributions to machine learning (ML) by contributing training...
Highly accelerated real-time cine MRI using compressed sensing (CS) is a promising approach to achie...
BACKGROUND: Our human societies and certainly also (bio) medicine are more and more permeated with t...
BACKGROUND: The oral microbiome is a complex assembly of microbial species, whose constituents can t...
Microrobots offer transformative solutions for non-invasive medical interventions due to their small...
OBJECTIVES: To develop a deep learning-based algorithm to detect aortic dissection (AD) and evaluate...
A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is involve...
PURPOSE: Deep learning-based whole-heart segmentation in coronary computed tomography angiography (C...
This paper argues that data-driven medicine gives rise to a particular normative challenge. Against ...
In climate science, climate models are one of the main tools for understanding phenomena. Here, we d...
This paper considers the problems of modeling and predicting a long-term and "blurry" relapse that o...
BACKGROUND AND OBJECTIVE: Currently, it is challenging to detect acute ischemic stroke (AIS)-related...
Twelve to 66% of patients with clinically non-functioning pituitary adenoma (NFPA) experience tumor ...