Latest AI and machine learning research in ethics for healthcare professionals.
Pain assessment in trigeminal neuralgia (TN) mouse models is essential for exploring its pathophysio...
BACKGROUND: Diabetic Retinopathy (DR) is a leading cause of blindness worldwide, affecting people wi...
To explore a robust tool for advancing digital breeding practices through an artificial intelligence...
This essay examines how artificial intelligence (AI) technologies may shape international norms. Fol...
INTRODUCTION: Artificial intelligence (AI) holds the potential to revolutionize medicine, offering v...
OBJECTIVE: This work aimed to derive a machine learning (ML) model for the differentiation between i...
The medical history underscores the significance of ethics in each advancement, with bioethics playi...
The advent of AI has ushered in a new era of patient care, but with it emerges a contentious debate ...
BACKGROUND: The landscape of robotic surgery is evolving with the emergence of new platforms. Howeve...
BACKGROUND: There exist few maximal oxygen uptake (VO) non-exercise-based prediction equations, fewe...
Quantifying healthy and degraded inner tissues in plants is of great interest in agronomy, for examp...
The growing demand for data scientists in both the global and Dutch labour markets has led to an inc...
The communication gap between patients and health care professionals has led to increased disputes a...
Increasing and compelling evidence has been proved that heavy metal exposure is involved in the deve...
Although time series prediction models based on Transformer architecture have achieved significant a...
The integration of artificial intelligence (AI) in dermatology holds promise for enhancing clinical ...
BACKGROUND: Gross domestic product (GDP) serves as a crucial economic indicator for measuring a coun...
Synthetic data promises to be a viable alternative when data collection and data sharing may not be ...
A novel 3D nnU-Net-based of algorithm was developed for fully-automated multi-organ segmentation in ...
To evaluate functional outcomes of robot-assisted ureteroplasty with labial mucosa grafting for lon...
PURPOSE: Deep learning-based auto-segmentation algorithms can improve clinical workflow by defining ...