Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Differentiating between stage 1 or 2 pressure ulcer/pressure injury (PU/PI) and incontin...
AIM: The aim of this study is to examine the effects of secondary traumatic stress and cognitive fle...
BACKGROUND: Determining extubation readiness in pediatric intensive care units (PICU) is challenging...
Scientists aim to create a system that can predict the likelihood of newborns being admitted to the ...
Rice planthoppers are the most economically important insect pests of rice in Asia. Traditional surv...
Cancer-associated fibroblasts promote tumor progression through growth facilitation, invasion, and i...
Cutaneous melanoma is one of the most lethal forms of skin cancer, and its incidence is increasing g...
Investigating the temporal dynamics of gene expression is crucial for understanding gene regulation ...
Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acu...
Healthcare is plagued with many problems that Artificial Intelligence (AI) can ameliorate or sometim...
Systemic Lupus Erythematosus (SLE) is a chronic, autoimmune disease characterized by multiple organ ...
Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segment...
Protein language models (pLMs) can offer deep insights into evolutionary and structural properties o...
Scientific analysis of the impact of artificial intelligence (AI) development on urban low-carbon tr...
Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge...
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; ...
Remote Patient Monitoring Systems (RPMS) are vital for tracking patients' health outside clinical se...
While RNA has recently been recognized as an interesting small-molecule drug target, many challenges...
The European Society of Thoracic Imaging (ESTI) nodule management recommendation for lung cancer scr...
This research introduces Oral Score Basic (OS-B), a novel Artificial Intelligence (AI) derived metho...
Deep learning models require large amounts of annotated data, which are hard to obtain in the medica...