Latest AI and machine learning research in pediatrics for healthcare professionals.
OBJECTIVE: To construct a prediction model for optimal tracheal tube depth in pediatric patients using machine learning.
Artificial intelligence (AI) applications for chest radiography and chest CT are among the most developed applications in radiology. More than 40 certified AI products are available for chest radiography or chest CT. These AI products cover a wide range of abnormalities, including pneumonia, pneumothorax and lung cancer. Most applications are aimed at detecting disease, complemented by products th...
Large scale early scanning of fetuses via ultrasound imaging is widely used to alleviate the morbidity or mortality caused by congenital anomalies in ...
Innovations in health care are growing exponentially, resulting in improved quality of and access to care, as well as rising societal costs of care an...
At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous shift in the direction of increasingly pervasive ...
Diffusion-weighted magnetic resonance imaging (DW-MRI) of fetal brain is challenged by frequent fetal motion and signal to noise ratio that is much lo...
The quality of treatment and prognosis after pediatric congenital heart surgery remains unsatisfactory. A reliable prediction model for postoperative ...
Quorum sensing is a well-known term for describing bacterial cell-cell communication. Bacteria use quorum sensing pathways to respond to external fact...
With the advent of the Energy 4.0 era, the adoption of "Internet + artificial intelligence" systems will enable the transformation and upgrading of th...
The referral is the key source of information that enables radiologists and radiographers to provide quality services. However, the frequency of subop...
Primary care providers, including general practice teams (GPTs), are well positioned within the community to integrate cancer survivorship care into o...
The epidemic increase in the incidence of Human Papilloma Virus (HPV) related Oropharyngeal Squamous Cell Carcinomas (OPSCCs) in several countries wor...
BACKGROUND: There is no established screening approach for hypertrophic cardiomyopathy (HCM). We recently developed an artificial intelligence (AI) mo...
Young people's physical and mental health is the foundation of society's overall development and the key to improving people's health quality. Middle ...
A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the a...
Over the last decade, a significant rise in pediatric robot-assisted minimally invasive surgeries has been observed. Apart from the urological surger...
Machine learning and artificial intelligence (AI) have arrived in medicine and the healthcare community is experiencing significant growth in their ad...
Brassinosteroids (BRs) are a group of plant steroid hormones involved in regulating growth, development, and stress responses. Many components of the ...
BACKGROUND: Acute kidney injury (AKI) in pediatric critical care patients is diagnosed using elevated serum creatinine, which occurs only after kidney...
BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, which affects vaccination rate. To increase confidenc...