Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Although data-driven methods usually have noticeable performance on disease diagnosis and treatment,...
Here, we explore the transformative effects of artificial intelligence (AI) and large language model...
BACKGROUND: Despite the implementation of prevention strategies, family violence continues to be a p...
Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, b...
Kidney stone disease is becoming increasingly common worldwide, with its prevalence increasing annua...
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...
Histopathological tissue classification is a fundamental task in computational pathology. Deep learn...
Alzheimer's disease is the most common cause of dementia in the elderly population (aged 65 years an...
We are writing in response to the recent publication on the use of artificial intelligence, particul...
The prevention and control of odor gas generated from kitchen waste are significant missions in rese...
BACKGROUND: As the Internet of Things (IoT) expands, it enables new forms of communication, includin...
The integration of IoT (Internet of Things) devices has emerged as a technical cornerstone in the la...
The Fitzpatrick Skin Phototype Classification (FSPC) scale is widely used to categorize skin types b...
Several pieces of evidence have been reported regarding the association between periodontitis and sy...
Based on deep mediatization theory and artificial intelligence (AI) technology, this study explores ...
In Africa, livestock production plays a crucial role for sustainable food security and economic grow...
INTRODUCTION: For several years, studies have been conducted on the contribution of social robots as...
BACKGROUND: Clinical trials demonstrate the efficacy and tolerability of medications targeting calci...
Uncertainty quantification is critical for ensuring the safety of deep learning-enabled health diagn...
Modeling functional brain networks (FBNs) for attention deficit hyperactivity disorder (ADHD) has sp...
Physically connected humans have been shown to exploit the exchange of haptic forces and tactile inf...