Latest AI and machine learning research in surveys for healthcare professionals.
Enhancing patient comprehension of their health is crucial in improving health outcomes. The integra...
Recently, methods of quickly and accurately screening for geriatric depression have attracted substa...
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after ...
The increasing focus of small extracellular vesicles (sEVs) in liquid biopsy has created a significa...
BACKGROUND: Mobile devices for remote monitoring are inevitable tools to support treatment and patie...
spp. and hepatitis E virus (HEV) are significant foodborne zoonotic pathogens that impact the healt...
BACKGROUND: Digital mental health is a promising paradigm for individualized, patient-driven health ...
INTRODUCTION: As artificial intelligence (AI) continues to permeate various sectors, concerns about ...
Artificial Intelligence (AI), especially Machine Learning (ML), has developed systems capable of per...
We introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identif...
INTRODUCTION: Missing data in psychometric research presents a substantial challenge, impacting the ...
As artificial intelligence (AI) gains prominence in pathology and medicine, the ethical implications...
It stands to reason that the amount and the quality of data are of key importance for setting up acc...
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scori...
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index, which inte...
BACKGROUND: Understanding the mechanisms of algorithmic bias is highly challenging due to the comple...
In the past decade, Artificial Intelligence (AI) driven drug design and discovery has been a hot res...
Identifying optimal treatment approaches for schizophrenia is challenging due to varying symptomatol...
The popularity of cloud computing (CC) has increased significantly in recent years due to its cost-e...
This study aimed to identify relationships between external and internal load parameters with subjec...
BACKGROUND: Manually creating multiple-choice questions (MCQ) is inefficient. Automatic item generat...